Hugging Face's logo

mlx-community
/
Yi-Coder-9B-Chat-8bit

Text Generation
Transformers
Safetensors
MLX
llama
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
1
k2rks commited on
Commit
9fe10bf
•
1 Parent(s): a488ae0

b30828de2fcf236e64cd64c759a38ad869866e9f0e62419473c20ed19d1024ad

Browse files
Files changed (7) hide show
  1. README.md +23 -0
  2. config.json +33 -0
  3. model.safetensors.index.json +1118 -0
  4. special_tokens_map.json +30 -0
  5. tokenizer.json +0 -0
  6. tokenizer.model +3 -0
  7. tokenizer_config.json +2461 -0
README.md ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ tags:
5
+ - mlx
6
+ ---
7
+
8
+ # mlx-community/Yi-Coder-9B-Chat-8bit
9
+
10
+ The Model [mlx-community/Yi-Coder-9B-Chat-8bit](https://huggingface.co/mlx-community/Yi-Coder-9B-Chat-8bit) was converted to MLX format from [01-ai/Yi-Coder-9B-Chat](https://huggingface.co/01-ai/Yi-Coder-9B-Chat) using mlx-lm version **0.18.1**.
11
+
12
+ ## Use with mlx
13
+
14
+ ```bash
15
+ pip install mlx-lm
16
+ ```
17
+
18
+ ```python
19
+ from mlx_lm import load, generate
20
+
21
+ model, tokenizer = load("mlx-community/Yi-Coder-9B-Chat-8bit")
22
+ response = generate(model, tokenizer, prompt="hello", verbose=True)
23
+ ```
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "LlamaForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 7,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 11008,
13
+ "max_position_embeddings": 131072,
14
+ "mlp_bias": false,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 48,
18
+ "num_key_value_heads": 4,
19
+ "pad_token_id": 0,
20
+ "pretraining_tp": 1,
21
+ "quantization": {
22
+ "group_size": 64,
23
+ "bits": 8
24
+ },
25
+ "rms_norm_eps": 1e-05,
26
+ "rope_scaling": null,
27
+ "rope_theta": 10000000,
28
+ "tie_word_embeddings": false,
29
+ "torch_dtype": "bfloat16",
30
+ "transformers_version": "4.44.0",
31
+ "use_cache": false,
32
+ "vocab_size": 64000
33
+ }
model.safetensors.index.json ADDED
@@ -0,0 +1,1118 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 9381617664
4
+ },
5
+ "weight_map": {
6
+ "lm_head.biases": "model-00002-of-00002.safetensors",
7
+ "lm_head.scales": "model-00002-of-00002.safetensors",
8
+ "lm_head.weight": "model-00002-of-00002.safetensors",
9
+ "model.embed_tokens.biases": "model-00001-of-00002.safetensors",
10
+ "model.embed_tokens.scales": "model-00001-of-00002.safetensors",
11
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.0.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
21
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.0.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
24
+ "model.layers.0.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
25
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.0.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
27
+ "model.layers.0.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
28
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.0.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
30
+ "model.layers.0.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
31
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.0.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
33
+ "model.layers.0.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
34
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.1.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
37
+ "model.layers.1.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
38
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.1.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
40
+ "model.layers.1.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
41
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
42
+ "model.layers.1.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
43
+ "model.layers.1.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
44
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.1.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
47
+ "model.layers.1.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
48
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.1.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
50
+ "model.layers.1.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
51
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.1.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
53
+ "model.layers.1.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
54
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.1.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
56
+ "model.layers.1.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
57
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.10.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
60
+ "model.layers.10.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
61
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.10.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
63
+ "model.layers.10.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
64
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.10.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
66
+ "model.layers.10.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
67
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.10.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
70
+ "model.layers.10.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
71
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.10.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
73
+ "model.layers.10.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
74
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.10.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
76
+ "model.layers.10.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
77
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
78
+ "model.layers.10.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
79
+ "model.layers.10.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
80
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.11.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
83
+ "model.layers.11.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
84
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.11.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
86
+ "model.layers.11.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
87
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.11.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
89
+ "model.layers.11.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
90
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.11.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
93
+ "model.layers.11.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
94
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.11.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
96
+ "model.layers.11.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
97
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.11.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
99
+ "model.layers.11.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
100
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.11.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
102
+ "model.layers.11.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
103
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.12.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
106
+ "model.layers.12.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
107
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.12.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
109
+ "model.layers.12.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
110
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.12.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
112
+ "model.layers.12.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
113
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
114
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.12.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
116
+ "model.layers.12.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
117
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.12.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
119
+ "model.layers.12.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
120
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.12.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
122
+ "model.layers.12.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
123
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.12.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
125
+ "model.layers.12.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
126
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.13.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
129
+ "model.layers.13.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
130
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.13.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
132
+ "model.layers.13.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
133
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.13.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
135
+ "model.layers.13.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
136
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
138
+ "model.layers.13.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
139
+ "model.layers.13.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
140
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.13.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
142
+ "model.layers.13.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
143
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.13.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
145
+ "model.layers.13.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
146
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.13.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
148
+ "model.layers.13.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
149
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
150
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.14.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
152
+ "model.layers.14.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
153
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.14.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
155
+ "model.layers.14.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
156
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.14.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
158
+ "model.layers.14.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
159
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.14.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
162
+ "model.layers.14.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
163
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
164
+ "model.layers.14.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
165
+ "model.layers.14.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
166
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.14.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
168
+ "model.layers.14.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
169
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.14.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
171
+ "model.layers.14.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
172
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
174
+ "model.layers.15.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
175
+ "model.layers.15.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
176
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.15.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
178
+ "model.layers.15.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
179
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.15.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
181
+ "model.layers.15.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
182
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.15.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
185
+ "model.layers.15.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
186
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.15.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
188
+ "model.layers.15.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
189
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.15.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
191
+ "model.layers.15.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
192
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.15.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
194
+ "model.layers.15.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
195
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.16.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
198
+ "model.layers.16.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
199
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
200
+ "model.layers.16.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
201
+ "model.layers.16.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
202
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.16.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
204
+ "model.layers.16.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
205
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
207
+ "model.layers.16.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
208
+ "model.layers.16.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
209
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
210
+ "model.layers.16.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
211
+ "model.layers.16.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
212
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.16.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
214
+ "model.layers.16.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
215
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.16.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
217
+ "model.layers.16.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
218
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.17.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
221
+ "model.layers.17.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
222
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.17.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
224
+ "model.layers.17.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
225
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.17.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
227
+ "model.layers.17.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
228
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.17.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
231
+ "model.layers.17.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
232
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.17.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
234
+ "model.layers.17.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
235
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
236
+ "model.layers.17.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
237
+ "model.layers.17.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
238
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.17.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
240
+ "model.layers.17.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
241
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
243
+ "model.layers.18.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
244
+ "model.layers.18.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
245
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
246
+ "model.layers.18.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
247
+ "model.layers.18.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
248
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.18.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
250
+ "model.layers.18.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
251
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
252
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.18.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
254
+ "model.layers.18.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
255
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
256
+ "model.layers.18.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
257
+ "model.layers.18.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
258
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.18.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
260
+ "model.layers.18.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
261
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.18.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
263
+ "model.layers.18.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
264
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.19.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
267
+ "model.layers.19.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
268
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.19.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
270
+ "model.layers.19.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
271
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
272
+ "model.layers.19.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
273
+ "model.layers.19.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
274
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.19.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
277
+ "model.layers.19.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
278
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.19.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
280
+ "model.layers.19.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
281
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
282
+ "model.layers.19.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
283
+ "model.layers.19.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
284
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.19.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
286
+ "model.layers.19.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
287
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.2.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
290
+ "model.layers.2.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
291
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
292
+ "model.layers.2.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
293
+ "model.layers.2.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
294
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.2.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
296
+ "model.layers.2.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
297
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.2.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
300
+ "model.layers.2.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
301
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.2.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
303
+ "model.layers.2.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
304
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.2.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
306
+ "model.layers.2.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
307
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
308
+ "model.layers.2.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
309
+ "model.layers.2.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
310
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.20.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
313
+ "model.layers.20.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
314
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
315
+ "model.layers.20.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
316
+ "model.layers.20.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
317
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
318
+ "model.layers.20.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
319
+ "model.layers.20.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
320
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
322
+ "model.layers.20.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
323
+ "model.layers.20.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
324
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.20.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
326
+ "model.layers.20.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
327
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
328
+ "model.layers.20.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
329
+ "model.layers.20.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
330
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.20.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
332
+ "model.layers.20.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
333
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
334
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
335
+ "model.layers.21.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
336
+ "model.layers.21.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
337
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
338
+ "model.layers.21.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
339
+ "model.layers.21.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
340
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.21.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
342
+ "model.layers.21.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
343
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
344
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.21.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
346
+ "model.layers.21.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
347
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.21.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
349
+ "model.layers.21.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
350
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
351
+ "model.layers.21.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
352
+ "model.layers.21.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
353
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
354
+ "model.layers.21.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
355
+ "model.layers.21.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
356
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
358
+ "model.layers.22.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
359
+ "model.layers.22.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
360
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.22.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
362
+ "model.layers.22.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
363
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.22.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
365
+ "model.layers.22.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
366
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
367
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
368
+ "model.layers.22.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
369
+ "model.layers.22.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
370
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
371
+ "model.layers.22.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
372
+ "model.layers.22.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
373
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
374
+ "model.layers.22.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
375
+ "model.layers.22.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
376
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
377
+ "model.layers.22.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
378
+ "model.layers.22.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
379
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
380
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.23.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
382
+ "model.layers.23.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
383
+ "model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.23.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
385
+ "model.layers.23.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
386
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
387
+ "model.layers.23.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
388
+ "model.layers.23.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
389
+ "model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
390
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.23.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
392
+ "model.layers.23.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
393
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
394
+ "model.layers.23.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
395
+ "model.layers.23.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
396
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
397
+ "model.layers.23.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
398
+ "model.layers.23.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
399
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
400
+ "model.layers.23.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
401
+ "model.layers.23.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
402
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
403
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
404
+ "model.layers.24.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
405
+ "model.layers.24.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
406
+ "model.layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
407
+ "model.layers.24.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
408
+ "model.layers.24.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
409
+ "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
410
+ "model.layers.24.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
411
+ "model.layers.24.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
412
+ "model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
413
+ "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
414
+ "model.layers.24.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
415
+ "model.layers.24.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
416
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
417
+ "model.layers.24.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
418
+ "model.layers.24.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
419
+ "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
420
+ "model.layers.24.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
421
+ "model.layers.24.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
422
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
423
+ "model.layers.24.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
424
+ "model.layers.24.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
425
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
426
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
427
+ "model.layers.25.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
428
+ "model.layers.25.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
429
+ "model.layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
430
+ "model.layers.25.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
431
+ "model.layers.25.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
432
+ "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
433
+ "model.layers.25.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
434
+ "model.layers.25.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
435
+ "model.layers.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
436
+ "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
437
+ "model.layers.25.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
438
+ "model.layers.25.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
439
+ "model.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
440
+ "model.layers.25.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
441
+ "model.layers.25.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
442
+ "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
443
+ "model.layers.25.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
444
+ "model.layers.25.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
445
+ "model.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
446
+ "model.layers.25.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
447
+ "model.layers.25.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
448
+ "model.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
449
+ "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
450
+ "model.layers.26.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
451
+ "model.layers.26.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
452
+ "model.layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
453
+ "model.layers.26.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
454
+ "model.layers.26.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
455
+ "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
456
+ "model.layers.26.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
457
+ "model.layers.26.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
458
+ "model.layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
459
+ "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
460
+ "model.layers.26.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
461
+ "model.layers.26.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
462
+ "model.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
463
+ "model.layers.26.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
464
+ "model.layers.26.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
465
+ "model.layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
466
+ "model.layers.26.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
467
+ "model.layers.26.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
468
+ "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
469
+ "model.layers.26.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
470
+ "model.layers.26.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
471
+ "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
472
+ "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
473
+ "model.layers.27.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
474
+ "model.layers.27.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
475
+ "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
476
+ "model.layers.27.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
477
+ "model.layers.27.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
478
+ "model.layers.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
479
+ "model.layers.27.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
480
+ "model.layers.27.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
481
+ "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
482
+ "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
483
+ "model.layers.27.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
484
+ "model.layers.27.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
485
+ "model.layers.27.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
486
+ "model.layers.27.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
487
+ "model.layers.27.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
488
+ "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
489
+ "model.layers.27.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
490
+ "model.layers.27.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
491
+ "model.layers.27.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
492
+ "model.layers.27.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
493
+ "model.layers.27.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
494
+ "model.layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
495
+ "model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
496
+ "model.layers.28.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
497
+ "model.layers.28.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
498
+ "model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
499
+ "model.layers.28.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
500
+ "model.layers.28.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
501
+ "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
502
+ "model.layers.28.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
503
+ "model.layers.28.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
504
+ "model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
505
+ "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
506
+ "model.layers.28.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
507
+ "model.layers.28.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
508
+ "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
509
+ "model.layers.28.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
510
+ "model.layers.28.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
511
+ "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
512
+ "model.layers.28.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
513
+ "model.layers.28.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
514
+ "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
515
+ "model.layers.28.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
516
+ "model.layers.28.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
517
+ "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
518
+ "model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
519
+ "model.layers.29.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
520
+ "model.layers.29.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
521
+ "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
522
+ "model.layers.29.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
523
+ "model.layers.29.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
524
+ "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
525
+ "model.layers.29.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
526
+ "model.layers.29.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
527
+ "model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
528
+ "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
529
+ "model.layers.29.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
530
+ "model.layers.29.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
531
+ "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
532
+ "model.layers.29.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
533
+ "model.layers.29.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
534
+ "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
535
+ "model.layers.29.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
536
+ "model.layers.29.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
537
+ "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
538
+ "model.layers.29.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
539
+ "model.layers.29.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
540
+ "model.layers.29.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
541
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
542
+ "model.layers.3.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
543
+ "model.layers.3.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
544
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
545
+ "model.layers.3.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
546
+ "model.layers.3.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
547
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
548
+ "model.layers.3.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
549
+ "model.layers.3.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
550
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
551
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
552
+ "model.layers.3.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
553
+ "model.layers.3.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
554
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
555
+ "model.layers.3.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
556
+ "model.layers.3.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
557
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
558
+ "model.layers.3.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
559
+ "model.layers.3.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
560
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
561
+ "model.layers.3.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
562
+ "model.layers.3.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
563
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
564
+ "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
565
+ "model.layers.30.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
566
+ "model.layers.30.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
567
+ "model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
568
+ "model.layers.30.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
569
+ "model.layers.30.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
570
+ "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
571
+ "model.layers.30.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
572
+ "model.layers.30.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
573
+ "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
574
+ "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
575
+ "model.layers.30.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
576
+ "model.layers.30.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
577
+ "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
578
+ "model.layers.30.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
579
+ "model.layers.30.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
580
+ "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
581
+ "model.layers.30.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
582
+ "model.layers.30.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
583
+ "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
584
+ "model.layers.30.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
585
+ "model.layers.30.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
586
+ "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
587
+ "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
588
+ "model.layers.31.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
589
+ "model.layers.31.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
590
+ "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
591
+ "model.layers.31.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
592
+ "model.layers.31.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
593
+ "model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
594
+ "model.layers.31.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
595
+ "model.layers.31.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
596
+ "model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
597
+ "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
598
+ "model.layers.31.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
599
+ "model.layers.31.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
600
+ "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
601
+ "model.layers.31.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
602
+ "model.layers.31.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
603
+ "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
604
+ "model.layers.31.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
605
+ "model.layers.31.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
606
+ "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
607
+ "model.layers.31.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
608
+ "model.layers.31.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
609
+ "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
610
+ "model.layers.32.input_layernorm.weight": "model-00002-of-00002.safetensors",
611
+ "model.layers.32.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
612
+ "model.layers.32.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
613
+ "model.layers.32.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
614
+ "model.layers.32.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
615
+ "model.layers.32.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
616
+ "model.layers.32.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
617
+ "model.layers.32.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
618
+ "model.layers.32.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
619
+ "model.layers.32.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
620
+ "model.layers.32.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
621
+ "model.layers.32.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
622
+ "model.layers.32.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
623
+ "model.layers.32.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
624
+ "model.layers.32.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
625
+ "model.layers.32.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
626
+ "model.layers.32.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
627
+ "model.layers.32.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
628
+ "model.layers.32.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
629
+ "model.layers.32.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
630
+ "model.layers.32.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
631
+ "model.layers.32.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
632
+ "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
633
+ "model.layers.33.input_layernorm.weight": "model-00002-of-00002.safetensors",
634
+ "model.layers.33.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
635
+ "model.layers.33.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
636
+ "model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
637
+ "model.layers.33.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
638
+ "model.layers.33.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
639
+ "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
640
+ "model.layers.33.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
641
+ "model.layers.33.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
642
+ "model.layers.33.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
643
+ "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
644
+ "model.layers.33.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
645
+ "model.layers.33.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
646
+ "model.layers.33.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
647
+ "model.layers.33.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
648
+ "model.layers.33.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
649
+ "model.layers.33.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
650
+ "model.layers.33.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
651
+ "model.layers.33.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
652
+ "model.layers.33.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
653
+ "model.layers.33.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
654
+ "model.layers.33.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
655
+ "model.layers.33.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
656
+ "model.layers.34.input_layernorm.weight": "model-00002-of-00002.safetensors",
657
+ "model.layers.34.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
658
+ "model.layers.34.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
659
+ "model.layers.34.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
660
+ "model.layers.34.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
661
+ "model.layers.34.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
662
+ "model.layers.34.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
663
+ "model.layers.34.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
664
+ "model.layers.34.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
665
+ "model.layers.34.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
666
+ "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
667
+ "model.layers.34.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
668
+ "model.layers.34.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
669
+ "model.layers.34.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
670
+ "model.layers.34.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
671
+ "model.layers.34.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
672
+ "model.layers.34.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
673
+ "model.layers.34.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
674
+ "model.layers.34.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
675
+ "model.layers.34.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
676
+ "model.layers.34.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
677
+ "model.layers.34.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
678
+ "model.layers.34.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
679
+ "model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors",
680
+ "model.layers.35.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
681
+ "model.layers.35.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
682
+ "model.layers.35.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
683
+ "model.layers.35.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
684
+ "model.layers.35.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
685
+ "model.layers.35.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
686
+ "model.layers.35.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
687
+ "model.layers.35.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
688
+ "model.layers.35.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
689
+ "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
690
+ "model.layers.35.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
691
+ "model.layers.35.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
692
+ "model.layers.35.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
693
+ "model.layers.35.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
694
+ "model.layers.35.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
695
+ "model.layers.35.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
696
+ "model.layers.35.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
697
+ "model.layers.35.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
698
+ "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
699
+ "model.layers.35.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
700
+ "model.layers.35.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
701
+ "model.layers.35.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
702
+ "model.layers.36.input_layernorm.weight": "model-00002-of-00002.safetensors",
703
+ "model.layers.36.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
704
+ "model.layers.36.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
705
+ "model.layers.36.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
706
+ "model.layers.36.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
707
+ "model.layers.36.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
708
+ "model.layers.36.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
709
+ "model.layers.36.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
710
+ "model.layers.36.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
711
+ "model.layers.36.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
712
+ "model.layers.36.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
713
+ "model.layers.36.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
714
+ "model.layers.36.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
715
+ "model.layers.36.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
716
+ "model.layers.36.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
717
+ "model.layers.36.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
718
+ "model.layers.36.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
719
+ "model.layers.36.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
720
+ "model.layers.36.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
721
+ "model.layers.36.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
722
+ "model.layers.36.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
723
+ "model.layers.36.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
724
+ "model.layers.36.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
725
+ "model.layers.37.input_layernorm.weight": "model-00002-of-00002.safetensors",
726
+ "model.layers.37.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
727
+ "model.layers.37.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
728
+ "model.layers.37.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
729
+ "model.layers.37.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
730
+ "model.layers.37.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
731
+ "model.layers.37.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
732
+ "model.layers.37.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
733
+ "model.layers.37.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
734
+ "model.layers.37.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
735
+ "model.layers.37.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
736
+ "model.layers.37.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
737
+ "model.layers.37.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
738
+ "model.layers.37.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
739
+ "model.layers.37.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
740
+ "model.layers.37.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
741
+ "model.layers.37.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
742
+ "model.layers.37.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
743
+ "model.layers.37.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
744
+ "model.layers.37.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
745
+ "model.layers.37.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
746
+ "model.layers.37.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
747
+ "model.layers.37.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
748
+ "model.layers.38.input_layernorm.weight": "model-00002-of-00002.safetensors",
749
+ "model.layers.38.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
750
+ "model.layers.38.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
751
+ "model.layers.38.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
752
+ "model.layers.38.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
753
+ "model.layers.38.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
754
+ "model.layers.38.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
755
+ "model.layers.38.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
756
+ "model.layers.38.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
757
+ "model.layers.38.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
758
+ "model.layers.38.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
759
+ "model.layers.38.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
760
+ "model.layers.38.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
761
+ "model.layers.38.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
762
+ "model.layers.38.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
763
+ "model.layers.38.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
764
+ "model.layers.38.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
765
+ "model.layers.38.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
766
+ "model.layers.38.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
767
+ "model.layers.38.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
768
+ "model.layers.38.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
769
+ "model.layers.38.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
770
+ "model.layers.38.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
771
+ "model.layers.39.input_layernorm.weight": "model-00002-of-00002.safetensors",
772
+ "model.layers.39.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
773
+ "model.layers.39.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
774
+ "model.layers.39.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
775
+ "model.layers.39.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
776
+ "model.layers.39.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
777
+ "model.layers.39.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
778
+ "model.layers.39.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
779
+ "model.layers.39.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
780
+ "model.layers.39.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
781
+ "model.layers.39.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
782
+ "model.layers.39.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
783
+ "model.layers.39.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
784
+ "model.layers.39.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
785
+ "model.layers.39.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
786
+ "model.layers.39.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
787
+ "model.layers.39.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
788
+ "model.layers.39.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
789
+ "model.layers.39.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
790
+ "model.layers.39.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
791
+ "model.layers.39.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
792
+ "model.layers.39.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
793
+ "model.layers.39.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
794
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
795
+ "model.layers.4.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
796
+ "model.layers.4.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
797
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
798
+ "model.layers.4.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
799
+ "model.layers.4.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
800
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
801
+ "model.layers.4.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
802
+ "model.layers.4.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
803
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
804
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
805
+ "model.layers.4.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
806
+ "model.layers.4.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
807
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
808
+ "model.layers.4.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
809
+ "model.layers.4.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
810
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
811
+ "model.layers.4.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
812
+ "model.layers.4.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
813
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
814
+ "model.layers.4.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
815
+ "model.layers.4.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
816
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
817
+ "model.layers.40.input_layernorm.weight": "model-00002-of-00002.safetensors",
818
+ "model.layers.40.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
819
+ "model.layers.40.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
820
+ "model.layers.40.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
821
+ "model.layers.40.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
822
+ "model.layers.40.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
823
+ "model.layers.40.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
824
+ "model.layers.40.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
825
+ "model.layers.40.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
826
+ "model.layers.40.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
827
+ "model.layers.40.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
828
+ "model.layers.40.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
829
+ "model.layers.40.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
830
+ "model.layers.40.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
831
+ "model.layers.40.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
832
+ "model.layers.40.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
833
+ "model.layers.40.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
834
+ "model.layers.40.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
835
+ "model.layers.40.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
836
+ "model.layers.40.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
837
+ "model.layers.40.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
838
+ "model.layers.40.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
839
+ "model.layers.40.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
840
+ "model.layers.41.input_layernorm.weight": "model-00002-of-00002.safetensors",
841
+ "model.layers.41.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
842
+ "model.layers.41.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
843
+ "model.layers.41.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
844
+ "model.layers.41.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
845
+ "model.layers.41.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
846
+ "model.layers.41.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
847
+ "model.layers.41.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
848
+ "model.layers.41.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
849
+ "model.layers.41.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
850
+ "model.layers.41.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
851
+ "model.layers.41.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
852
+ "model.layers.41.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
853
+ "model.layers.41.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
854
+ "model.layers.41.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
855
+ "model.layers.41.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
856
+ "model.layers.41.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
857
+ "model.layers.41.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
858
+ "model.layers.41.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
859
+ "model.layers.41.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
860
+ "model.layers.41.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
861
+ "model.layers.41.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
862
+ "model.layers.41.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
863
+ "model.layers.42.input_layernorm.weight": "model-00002-of-00002.safetensors",
864
+ "model.layers.42.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
865
+ "model.layers.42.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
866
+ "model.layers.42.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
867
+ "model.layers.42.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
868
+ "model.layers.42.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
869
+ "model.layers.42.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
870
+ "model.layers.42.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
871
+ "model.layers.42.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
872
+ "model.layers.42.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
873
+ "model.layers.42.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
874
+ "model.layers.42.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
875
+ "model.layers.42.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
876
+ "model.layers.42.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
877
+ "model.layers.42.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
878
+ "model.layers.42.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
879
+ "model.layers.42.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
880
+ "model.layers.42.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
881
+ "model.layers.42.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
882
+ "model.layers.42.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
883
+ "model.layers.42.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
884
+ "model.layers.42.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
885
+ "model.layers.42.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
886
+ "model.layers.43.input_layernorm.weight": "model-00002-of-00002.safetensors",
887
+ "model.layers.43.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
888
+ "model.layers.43.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
889
+ "model.layers.43.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
890
+ "model.layers.43.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
891
+ "model.layers.43.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
892
+ "model.layers.43.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
893
+ "model.layers.43.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
894
+ "model.layers.43.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
895
+ "model.layers.43.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
896
+ "model.layers.43.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
897
+ "model.layers.43.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
898
+ "model.layers.43.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
899
+ "model.layers.43.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
900
+ "model.layers.43.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
901
+ "model.layers.43.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
902
+ "model.layers.43.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
903
+ "model.layers.43.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
904
+ "model.layers.43.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
905
+ "model.layers.43.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
906
+ "model.layers.43.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
907
+ "model.layers.43.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
908
+ "model.layers.43.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
909
+ "model.layers.44.input_layernorm.weight": "model-00002-of-00002.safetensors",
910
+ "model.layers.44.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
911
+ "model.layers.44.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
912
+ "model.layers.44.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
913
+ "model.layers.44.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
914
+ "model.layers.44.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
915
+ "model.layers.44.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
916
+ "model.layers.44.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
917
+ "model.layers.44.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
918
+ "model.layers.44.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
919
+ "model.layers.44.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
920
+ "model.layers.44.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
921
+ "model.layers.44.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
922
+ "model.layers.44.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
923
+ "model.layers.44.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
924
+ "model.layers.44.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
925
+ "model.layers.44.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
926
+ "model.layers.44.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
927
+ "model.layers.44.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
928
+ "model.layers.44.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
929
+ "model.layers.44.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
930
+ "model.layers.44.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
931
+ "model.layers.44.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
932
+ "model.layers.45.input_layernorm.weight": "model-00002-of-00002.safetensors",
933
+ "model.layers.45.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
934
+ "model.layers.45.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
935
+ "model.layers.45.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
936
+ "model.layers.45.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
937
+ "model.layers.45.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
938
+ "model.layers.45.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
939
+ "model.layers.45.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
940
+ "model.layers.45.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
941
+ "model.layers.45.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
942
+ "model.layers.45.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
943
+ "model.layers.45.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
944
+ "model.layers.45.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
945
+ "model.layers.45.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
946
+ "model.layers.45.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
947
+ "model.layers.45.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
948
+ "model.layers.45.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
949
+ "model.layers.45.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
950
+ "model.layers.45.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
951
+ "model.layers.45.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
952
+ "model.layers.45.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
953
+ "model.layers.45.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
954
+ "model.layers.45.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
955
+ "model.layers.46.input_layernorm.weight": "model-00002-of-00002.safetensors",
956
+ "model.layers.46.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
957
+ "model.layers.46.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
958
+ "model.layers.46.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
959
+ "model.layers.46.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
960
+ "model.layers.46.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
961
+ "model.layers.46.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
962
+ "model.layers.46.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
963
+ "model.layers.46.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
964
+ "model.layers.46.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
965
+ "model.layers.46.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
966
+ "model.layers.46.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
967
+ "model.layers.46.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
968
+ "model.layers.46.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
969
+ "model.layers.46.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
970
+ "model.layers.46.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
971
+ "model.layers.46.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
972
+ "model.layers.46.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
973
+ "model.layers.46.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
974
+ "model.layers.46.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
975
+ "model.layers.46.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
976
+ "model.layers.46.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
977
+ "model.layers.46.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
978
+ "model.layers.47.input_layernorm.weight": "model-00002-of-00002.safetensors",
979
+ "model.layers.47.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
980
+ "model.layers.47.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
981
+ "model.layers.47.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
982
+ "model.layers.47.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
983
+ "model.layers.47.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
984
+ "model.layers.47.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
985
+ "model.layers.47.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
986
+ "model.layers.47.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
987
+ "model.layers.47.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
988
+ "model.layers.47.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
989
+ "model.layers.47.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
990
+ "model.layers.47.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
991
+ "model.layers.47.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
992
+ "model.layers.47.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
993
+ "model.layers.47.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
994
+ "model.layers.47.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
995
+ "model.layers.47.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
996
+ "model.layers.47.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
997
+ "model.layers.47.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
998
+ "model.layers.47.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
999
+ "model.layers.47.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
1000
+ "model.layers.47.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
1001
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
1002
+ "model.layers.5.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
1003
+ "model.layers.5.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
1004
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
1005
+ "model.layers.5.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
1006
+ "model.layers.5.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
1007
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
1008
+ "model.layers.5.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
1009
+ "model.layers.5.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
1010
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
1011
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
1012
+ "model.layers.5.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
1013
+ "model.layers.5.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
1014
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
1015
+ "model.layers.5.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
1016
+ "model.layers.5.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
1017
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
1018
+ "model.layers.5.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
1019
+ "model.layers.5.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
1020
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
1021
+ "model.layers.5.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
1022
+ "model.layers.5.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
1023
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
1024
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
1025
+ "model.layers.6.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
1026
+ "model.layers.6.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
1027
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
1028
+ "model.layers.6.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
1029
+ "model.layers.6.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
1030
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
1031
+ "model.layers.6.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
1032
+ "model.layers.6.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
1033
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
1034
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
1035
+ "model.layers.6.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
1036
+ "model.layers.6.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
1037
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
1038
+ "model.layers.6.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
1039
+ "model.layers.6.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
1040
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
1041
+ "model.layers.6.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
1042
+ "model.layers.6.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
1043
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
1044
+ "model.layers.6.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
1045
+ "model.layers.6.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
1046
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
1047
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
1048
+ "model.layers.7.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
1049
+ "model.layers.7.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
1050
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
1051
+ "model.layers.7.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
1052
+ "model.layers.7.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
1053
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
1054
+ "model.layers.7.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
1055
+ "model.layers.7.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
1056
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
1057
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
1058
+ "model.layers.7.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
1059
+ "model.layers.7.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
1060
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
1061
+ "model.layers.7.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
1062
+ "model.layers.7.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
1063
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
1064
+ "model.layers.7.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
1065
+ "model.layers.7.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
1066
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
1067
+ "model.layers.7.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
1068
+ "model.layers.7.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
1069
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
1070
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
1071
+ "model.layers.8.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
1072
+ "model.layers.8.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
1073
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
1074
+ "model.layers.8.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
1075
+ "model.layers.8.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
1076
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
1077
+ "model.layers.8.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
1078
+ "model.layers.8.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
1079
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
1080
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
1081
+ "model.layers.8.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
1082
+ "model.layers.8.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
1083
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
1084
+ "model.layers.8.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
1085
+ "model.layers.8.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
1086
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
1087
+ "model.layers.8.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
1088
+ "model.layers.8.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
1089
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
1090
+ "model.layers.8.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
1091
+ "model.layers.8.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
1092
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
1093
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
1094
+ "model.layers.9.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
1095
+ "model.layers.9.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
1096
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
1097
+ "model.layers.9.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
1098
+ "model.layers.9.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
1099
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
1100
+ "model.layers.9.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
1101
+ "model.layers.9.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
1102
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
1103
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
1104
+ "model.layers.9.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
1105
+ "model.layers.9.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
1106
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
1107
+ "model.layers.9.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
1108
+ "model.layers.9.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
1109
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
1110
+ "model.layers.9.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
1111
+ "model.layers.9.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
1112
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
1113
+ "model.layers.9.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
1114
+ "model.layers.9.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
1115
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
1116
+ "model.norm.weight": "model-00002-of-00002.safetensors"
1117
+ }
1118
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|startoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|im_end|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
3
+ size 1033105
tokenizer_config.json ADDED
@@ -0,0 +1,2461 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": false,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<|startoftext|>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "<|endoftext|>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "3": {
31
+ "content": "<|Human|>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "4": {
39
+ "content": "<|Assistant|>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ },
46
+ "5": {
47
+ "content": "<|System|>",
48
+ "lstrip": false,
49
+ "normalized": false,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": true
53
+ },
54
+ "6": {
55
+ "content": "<|im_start|>",
56
+ "lstrip": false,
57
+ "normalized": false,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": true
61
+ },
62
+ "7": {
63
+ "content": "<|im_end|>",
64
+ "lstrip": false,
65
+ "normalized": false,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": true
69
+ },
70
+ "8": {
71
+ "content": "<|im_sep|>",
72
+ "lstrip": false,
73
+ "normalized": false,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "9": {
79
+ "content": "<|reserved003|>",
80
+ "lstrip": false,
81
+ "normalized": false,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": true
85
+ },
86
+ "10": {
87
+ "content": "<|reserved004|>",
88
+ "lstrip": false,
89
+ "normalized": false,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": true
93
+ },
94
+ "11": {
95
+ "content": "<|reserved005|>",
96
+ "lstrip": false,
97
+ "normalized": false,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": true
101
+ },
102
+ "12": {
103
+ "content": "<|reserved006|>",
104
+ "lstrip": false,
105
+ "normalized": false,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": true
109
+ },
110
+ "13": {
111
+ "content": "<|reserved007|>",
112
+ "lstrip": false,
113
+ "normalized": false,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": true
117
+ },
118
+ "14": {
119
+ "content": "<fim_prefix>",
120
+ "lstrip": false,
121
+ "normalized": false,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": false
125
+ },
126
+ "15": {
127
+ "content": "<fim_middle>",
128
+ "lstrip": false,
129
+ "normalized": false,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": false
133
+ },
134
+ "16": {
135
+ "content": "<fim_suffix>",
136
+ "lstrip": false,
137
+ "normalized": false,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": false
141
+ },
142
+ "17": {
143
+ "content": "<fim_pad>",
144
+ "lstrip": false,
145
+ "normalized": false,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": false
149
+ },
150
+ "18": {
151
+ "content": "<filename>",
152
+ "lstrip": false,
153
+ "normalized": false,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": false
157
+ },
158
+ "19": {
159
+ "content": "<gh_stars>",
160
+ "lstrip": false,
161
+ "normalized": false,
162
+ "rstrip": false,
163
+ "single_word": false,
164
+ "special": false
165
+ },
166
+ "20": {
167
+ "content": "<issue_start>",
168
+ "lstrip": false,
169
+ "normalized": false,
170
+ "rstrip": false,
171
+ "single_word": false,
172
+ "special": false
173
+ },
174
+ "21": {
175
+ "content": "<issue_comment>",
176
+ "lstrip": false,
177
+ "normalized": false,
178
+ "rstrip": false,
179
+ "single_word": false,
180
+ "special": false
181
+ },
182
+ "22": {
183
+ "content": "<issue_closed>",
184
+ "lstrip": false,
185
+ "normalized": false,
186
+ "rstrip": false,
187
+ "single_word": false,
188
+ "special": false
189
+ },
190
+ "23": {
191
+ "content": "<jupyter_start>",
192
+ "lstrip": false,
193
+ "normalized": false,
194
+ "rstrip": false,
195
+ "single_word": false,
196
+ "special": false
197
+ },
198
+ "24": {
199
+ "content": "<jupyter_text>",
200
+ "lstrip": false,
201
+ "normalized": false,
202
+ "rstrip": false,
203
+ "single_word": false,
204
+ "special": false
205
+ },
206
+ "25": {
207
+ "content": "<jupyter_code>",
208
+ "lstrip": false,
209
+ "normalized": false,
210
+ "rstrip": false,
211
+ "single_word": false,
212
+ "special": false
213
+ },
214
+ "26": {
215
+ "content": "<jupyter_output>",
216
+ "lstrip": false,
217
+ "normalized": false,
218
+ "rstrip": false,
219
+ "single_word": false,
220
+ "special": false
221
+ },
222
+ "27": {
223
+ "content": "<empty_output>",
224
+ "lstrip": false,
225
+ "normalized": false,
226
+ "rstrip": false,
227
+ "single_word": false,
228
+ "special": false
229
+ },
230
+ "28": {
231
+ "content": "<commit_before>",
232
+ "lstrip": false,
233
+ "normalized": false,
234
+ "rstrip": false,
235
+ "single_word": false,
236
+ "special": false
237
+ },
238
+ "29": {
239
+ "content": "<commit_msg>",
240
+ "lstrip": false,
241
+ "normalized": false,
242
+ "rstrip": false,
243
+ "single_word": false,
244
+ "special": false
245
+ },
246
+ "30": {
247
+ "content": "<commit_after>",
248
+ "lstrip": false,
249
+ "normalized": false,
250
+ "rstrip": false,
251
+ "single_word": false,
252
+ "special": false
253
+ },
254
+ "31": {
255
+ "content": "<reponame>",
256
+ "lstrip": false,
257
+ "normalized": false,
258
+ "rstrip": false,
259
+ "single_word": false,
260
+ "special": false
261
+ },
262
+ "32": {
263
+ "content": "<h1>",
264
+ "lstrip": false,
265
+ "normalized": false,
266
+ "rstrip": false,
267
+ "single_word": false,
268
+ "special": false
269
+ },
270
+ "33": {
271
+ "content": "<h1/>",
272
+ "lstrip": false,
273
+ "normalized": false,
274
+ "rstrip": false,
275
+ "single_word": false,
276
+ "special": false
277
+ },
278
+ "34": {
279
+ "content": "</h1>",
280
+ "lstrip": false,
281
+ "normalized": false,
282
+ "rstrip": false,
283
+ "single_word": false,
284
+ "special": false
285
+ },
286
+ "35": {
287
+ "content": "<h2>",
288
+ "lstrip": false,
289
+ "normalized": false,
290
+ "rstrip": false,
291
+ "single_word": false,
292
+ "special": false
293
+ },
294
+ "36": {
295
+ "content": "<h2/>",
296
+ "lstrip": false,
297
+ "normalized": false,
298
+ "rstrip": false,
299
+ "single_word": false,
300
+ "special": false
301
+ },
302
+ "37": {
303
+ "content": "</h2>",
304
+ "lstrip": false,
305
+ "normalized": false,
306
+ "rstrip": false,
307
+ "single_word": false,
308
+ "special": false
309
+ },
310
+ "38": {
311
+ "content": "<h3>",
312
+ "lstrip": false,
313
+ "normalized": false,
314
+ "rstrip": false,
315
+ "single_word": false,
316
+ "special": false
317
+ },
318
+ "39": {
319
+ "content": "<h3/>",
320
+ "lstrip": false,
321
+ "normalized": false,
322
+ "rstrip": false,
323
+ "single_word": false,
324
+ "special": false
325
+ },
326
+ "40": {
327
+ "content": "</h3>",
328
+ "lstrip": false,
329
+ "normalized": false,
330
+ "rstrip": false,
331
+ "single_word": false,
332
+ "special": false
333
+ },
334
+ "41": {
335
+ "content": "<h4>",
336
+ "lstrip": false,
337
+ "normalized": false,
338
+ "rstrip": false,
339
+ "single_word": false,
340
+ "special": false
341
+ },
342
+ "42": {
343
+ "content": "<h4/>",
344
+ "lstrip": false,
345
+ "normalized": false,
346
+ "rstrip": false,
347
+ "single_word": false,
348
+ "special": false
349
+ },
350
+ "43": {
351
+ "content": "</h4>",
352
+ "lstrip": false,
353
+ "normalized": false,
354
+ "rstrip": false,
355
+ "single_word": false,
356
+ "special": false
357
+ },
358
+ "44": {
359
+ "content": "<h5>",
360
+ "lstrip": false,
361
+ "normalized": false,
362
+ "rstrip": false,
363
+ "single_word": false,
364
+ "special": false
365
+ },
366
+ "45": {
367
+ "content": "<h5/>",
368
+ "lstrip": false,
369
+ "normalized": false,
370
+ "rstrip": false,
371
+ "single_word": false,
372
+ "special": false
373
+ },
374
+ "46": {
375
+ "content": "</h5>",
376
+ "lstrip": false,
377
+ "normalized": false,
378
+ "rstrip": false,
379
+ "single_word": false,
380
+ "special": false
381
+ },
382
+ "47": {
383
+ "content": "<br>",
384
+ "lstrip": false,
385
+ "normalized": false,
386
+ "rstrip": false,
387
+ "single_word": false,
388
+ "special": false
389
+ },
390
+ "48": {
391
+ "content": "<br/>",
392
+ "lstrip": false,
393
+ "normalized": false,
394
+ "rstrip": false,
395
+ "single_word": false,
396
+ "special": false
397
+ },
398
+ "49": {
399
+ "content": "</br>",
400
+ "lstrip": false,
401
+ "normalized": false,
402
+ "rstrip": false,
403
+ "single_word": false,
404
+ "special": false
405
+ },
406
+ "50": {
407
+ "content": "<strong>",
408
+ "lstrip": false,
409
+ "normalized": false,
410
+ "rstrip": false,
411
+ "single_word": false,
412
+ "special": false
413
+ },
414
+ "51": {
415
+ "content": "<strong/>",
416
+ "lstrip": false,
417
+ "normalized": false,
418
+ "rstrip": false,
419
+ "single_word": false,
420
+ "special": false
421
+ },
422
+ "52": {
423
+ "content": "</strong>",
424
+ "lstrip": false,
425
+ "normalized": false,
426
+ "rstrip": false,
427
+ "single_word": false,
428
+ "special": false
429
+ },
430
+ "53": {
431
+ "content": "<p>",
432
+ "lstrip": false,
433
+ "normalized": false,
434
+ "rstrip": false,
435
+ "single_word": false,
436
+ "special": false
437
+ },
438
+ "54": {
439
+ "content": "<p/>",
440
+ "lstrip": false,
441
+ "normalized": false,
442
+ "rstrip": false,
443
+ "single_word": false,
444
+ "special": false
445
+ },
446
+ "55": {
447
+ "content": "</p>",
448
+ "lstrip": false,
449
+ "normalized": false,
450
+ "rstrip": false,
451
+ "single_word": false,
452
+ "special": false
453
+ },
454
+ "56": {
455
+ "content": "<table>",
456
+ "lstrip": false,
457
+ "normalized": false,
458
+ "rstrip": false,
459
+ "single_word": false,
460
+ "special": false
461
+ },
462
+ "57": {
463
+ "content": "<table/>",
464
+ "lstrip": false,
465
+ "normalized": false,
466
+ "rstrip": false,
467
+ "single_word": false,
468
+ "special": false
469
+ },
470
+ "58": {
471
+ "content": "</table>",
472
+ "lstrip": false,
473
+ "normalized": false,
474
+ "rstrip": false,
475
+ "single_word": false,
476
+ "special": false
477
+ },
478
+ "59": {
479
+ "content": "<li>",
480
+ "lstrip": false,
481
+ "normalized": false,
482
+ "rstrip": false,
483
+ "single_word": false,
484
+ "special": false
485
+ },
486
+ "60": {
487
+ "content": "<li/>",
488
+ "lstrip": false,
489
+ "normalized": false,
490
+ "rstrip": false,
491
+ "single_word": false,
492
+ "special": false
493
+ },
494
+ "61": {
495
+ "content": "</li>",
496
+ "lstrip": false,
497
+ "normalized": false,
498
+ "rstrip": false,
499
+ "single_word": false,
500
+ "special": false
501
+ },
502
+ "62": {
503
+ "content": "<tr>",
504
+ "lstrip": false,
505
+ "normalized": false,
506
+ "rstrip": false,
507
+ "single_word": false,
508
+ "special": false
509
+ },
510
+ "63": {
511
+ "content": "<tr/>",
512
+ "lstrip": false,
513
+ "normalized": false,
514
+ "rstrip": false,
515
+ "single_word": false,
516
+ "special": false
517
+ },
518
+ "64": {
519
+ "content": "</tr>",
520
+ "lstrip": false,
521
+ "normalized": false,
522
+ "rstrip": false,
523
+ "single_word": false,
524
+ "special": false
525
+ },
526
+ "65": {
527
+ "content": "<tbody>",
528
+ "lstrip": false,
529
+ "normalized": false,
530
+ "rstrip": false,
531
+ "single_word": false,
532
+ "special": false
533
+ },
534
+ "66": {
535
+ "content": "<tbody/>",
536
+ "lstrip": false,
537
+ "normalized": false,
538
+ "rstrip": false,
539
+ "single_word": false,
540
+ "special": false
541
+ },
542
+ "67": {
543
+ "content": "</tbody>",
544
+ "lstrip": false,
545
+ "normalized": false,
546
+ "rstrip": false,
547
+ "single_word": false,
548
+ "special": false
549
+ },
550
+ "68": {
551
+ "content": "<img>",
552
+ "lstrip": false,
553
+ "normalized": false,
554
+ "rstrip": false,
555
+ "single_word": false,
556
+ "special": false
557
+ },
558
+ "69": {
559
+ "content": "<img/>",
560
+ "lstrip": false,
561
+ "normalized": false,
562
+ "rstrip": false,
563
+ "single_word": false,
564
+ "special": false
565
+ },
566
+ "70": {
567
+ "content": "</img>",
568
+ "lstrip": false,
569
+ "normalized": false,
570
+ "rstrip": false,
571
+ "single_word": false,
572
+ "special": false
573
+ },
574
+ "71": {
575
+ "content": "<b>",
576
+ "lstrip": false,
577
+ "normalized": false,
578
+ "rstrip": false,
579
+ "single_word": false,
580
+ "special": false
581
+ },
582
+ "72": {
583
+ "content": "<b/>",
584
+ "lstrip": false,
585
+ "normalized": false,
586
+ "rstrip": false,
587
+ "single_word": false,
588
+ "special": false
589
+ },
590
+ "73": {
591
+ "content": "</b>",
592
+ "lstrip": false,
593
+ "normalized": false,
594
+ "rstrip": false,
595
+ "single_word": false,
596
+ "special": false
597
+ },
598
+ "74": {
599
+ "content": "<td>",
600
+ "lstrip": false,
601
+ "normalized": false,
602
+ "rstrip": false,
603
+ "single_word": false,
604
+ "special": false
605
+ },
606
+ "75": {
607
+ "content": "<td/>",
608
+ "lstrip": false,
609
+ "normalized": false,
610
+ "rstrip": false,
611
+ "single_word": false,
612
+ "special": false
613
+ },
614
+ "76": {
615
+ "content": "</td>",
616
+ "lstrip": false,
617
+ "normalized": false,
618
+ "rstrip": false,
619
+ "single_word": false,
620
+ "special": false
621
+ },
622
+ "77": {
623
+ "content": "0",
624
+ "lstrip": false,
625
+ "normalized": false,
626
+ "rstrip": false,
627
+ "single_word": false,
628
+ "special": false
629
+ },
630
+ "78": {
631
+ "content": "1",
632
+ "lstrip": false,
633
+ "normalized": false,
634
+ "rstrip": false,
635
+ "single_word": false,
636
+ "special": false
637
+ },
638
+ "79": {
639
+ "content": "2",
640
+ "lstrip": false,
641
+ "normalized": false,
642
+ "rstrip": false,
643
+ "single_word": false,
644
+ "special": false
645
+ },
646
+ "80": {
647
+ "content": "3",
648
+ "lstrip": false,
649
+ "normalized": false,
650
+ "rstrip": false,
651
+ "single_word": false,
652
+ "special": false
653
+ },
654
+ "81": {
655
+ "content": "4",
656
+ "lstrip": false,
657
+ "normalized": false,
658
+ "rstrip": false,
659
+ "single_word": false,
660
+ "special": false
661
+ },
662
+ "82": {
663
+ "content": "5",
664
+ "lstrip": false,
665
+ "normalized": false,
666
+ "rstrip": false,
667
+ "single_word": false,
668
+ "special": false
669
+ },
670
+ "83": {
671
+ "content": "6",
672
+ "lstrip": false,
673
+ "normalized": false,
674
+ "rstrip": false,
675
+ "single_word": false,
676
+ "special": false
677
+ },
678
+ "84": {
679
+ "content": "7",
680
+ "lstrip": false,
681
+ "normalized": false,
682
+ "rstrip": false,
683
+ "single_word": false,
684
+ "special": false
685
+ },
686
+ "85": {
687
+ "content": "8",
688
+ "lstrip": false,
689
+ "normalized": false,
690
+ "rstrip": false,
691
+ "single_word": false,
692
+ "special": false
693
+ },
694
+ "86": {
695
+ "content": "9",
696
+ "lstrip": false,
697
+ "normalized": false,
698
+ "rstrip": false,
699
+ "single_word": false,
700
+ "special": false
701
+ },
702
+ "87": {
703
+ "content": "０",
704
+ "lstrip": false,
705
+ "normalized": false,
706
+ "rstrip": false,
707
+ "single_word": false,
708
+ "special": false
709
+ },
710
+ "88": {
711
+ "content": "１",
712
+ "lstrip": false,
713
+ "normalized": false,
714
+ "rstrip": false,
715
+ "single_word": false,
716
+ "special": false
717
+ },
718
+ "89": {
719
+ "content": "２",
720
+ "lstrip": false,
721
+ "normalized": false,
722
+ "rstrip": false,
723
+ "single_word": false,
724
+ "special": false
725
+ },
726
+ "90": {
727
+ "content": "３",
728
+ "lstrip": false,
729
+ "normalized": false,
730
+ "rstrip": false,
731
+ "single_word": false,
732
+ "special": false
733
+ },
734
+ "91": {
735
+ "content": "４",
736
+ "lstrip": false,
737
+ "normalized": false,
738
+ "rstrip": false,
739
+ "single_word": false,
740
+ "special": false
741
+ },
742
+ "92": {
743
+ "content": "５",
744
+ "lstrip": false,
745
+ "normalized": false,
746
+ "rstrip": false,
747
+ "single_word": false,
748
+ "special": false
749
+ },
750
+ "93": {
751
+ "content": "６",
752
+ "lstrip": false,
753
+ "normalized": false,
754
+ "rstrip": false,
755
+ "single_word": false,
756
+ "special": false
757
+ },
758
+ "94": {
759
+ "content": "７",
760
+ "lstrip": false,
761
+ "normalized": false,
762
+ "rstrip": false,
763
+ "single_word": false,
764
+ "special": false
765
+ },
766
+ "95": {
767
+ "content": "８",
768
+ "lstrip": false,
769
+ "normalized": false,
770
+ "rstrip": false,
771
+ "single_word": false,
772
+ "special": false
773
+ },
774
+ "96": {
775
+ "content": "９",
776
+ "lstrip": false,
777
+ "normalized": false,
778
+ "rstrip": false,
779
+ "single_word": false,
780
+ "special": false
781
+ },
782
+ "97": {
783
+ "content": ",",
784
+ "lstrip": false,
785
+ "normalized": false,
786
+ "rstrip": false,
787
+ "single_word": false,
788
+ "special": false
789
+ },
790
+ "98": {
791
+ "content": ".",
792
+ "lstrip": false,
793
+ "normalized": false,
794
+ "rstrip": false,
795
+ "single_word": false,
796
+ "special": false
797
+ },
798
+ "99": {
799
+ "content": "!",
800
+ "lstrip": false,
801
+ "normalized": false,
802
+ "rstrip": false,
803
+ "single_word": false,
804
+ "special": false
805
+ },
806
+ "100": {
807
+ "content": "?",
808
+ "lstrip": false,
809
+ "normalized": false,
810
+ "rstrip": false,
811
+ "single_word": false,
812
+ "special": false
813
+ },
814
+ "101": {
815
+ "content": "，",
816
+ "lstrip": false,
817
+ "normalized": false,
818
+ "rstrip": false,
819
+ "single_word": false,
820
+ "special": false
821
+ },
822
+ "102": {
823
+ "content": "。",
824
+ "lstrip": false,
825
+ "normalized": false,
826
+ "rstrip": false,
827
+ "single_word": false,
828
+ "special": false
829
+ },
830
+ "103": {
831
+ "content": "！",
832
+ "lstrip": false,
833
+ "normalized": false,
834
+ "rstrip": false,
835
+ "single_word": false,
836
+ "special": false
837
+ },
838
+ "104": {
839
+ "content": "？",
840
+ "lstrip": false,
841
+ "normalized": false,
842
+ "rstrip": false,
843
+ "single_word": false,
844
+ "special": false
845
+ },
846
+ "105": {
847
+ "content": "、",
848
+ "lstrip": false,
849
+ "normalized": false,
850
+ "rstrip": false,
851
+ "single_word": false,
852
+ "special": false
853
+ },
854
+ "106": {
855
+ "content": "：",
856
+ "lstrip": false,
857
+ "normalized": false,
858
+ "rstrip": false,
859
+ "single_word": false,
860
+ "special": false
861
+ },
862
+ "107": {
863
+ "content": "￥",
864
+ "lstrip": false,
865
+ "normalized": false,
866
+ "rstrip": false,
867
+ "single_word": false,
868
+ "special": false
869
+ },
870
+ "108": {
871
+ "content": "《",
872
+ "lstrip": false,
873
+ "normalized": false,
874
+ "rstrip": false,
875
+ "single_word": false,
876
+ "special": false
877
+ },
878
+ "109": {
879
+ "content": "》",
880
+ "lstrip": false,
881
+ "normalized": false,
882
+ "rstrip": false,
883
+ "single_word": false,
884
+ "special": false
885
+ },
886
+ "110": {
887
+ "content": "【",
888
+ "lstrip": false,
889
+ "normalized": false,
890
+ "rstrip": false,
891
+ "single_word": false,
892
+ "special": false
893
+ },
894
+ "111": {
895
+ "content": "】",
896
+ "lstrip": false,
897
+ "normalized": false,
898
+ "rstrip": false,
899
+ "single_word": false,
900
+ "special": false
901
+ },
902
+ "112": {
903
+ "content": "『",
904
+ "lstrip": false,
905
+ "normalized": false,
906
+ "rstrip": false,
907
+ "single_word": false,
908
+ "special": false
909
+ },
910
+ "113": {
911
+ "content": "』",
912
+ "lstrip": false,
913
+ "normalized": false,
914
+ "rstrip": false,
915
+ "single_word": false,
916
+ "special": false
917
+ },
918
+ "114": {
919
+ "content": "```",
920
+ "lstrip": false,
921
+ "normalized": false,
922
+ "rstrip": false,
923
+ "single_word": false,
924
+ "special": false
925
+ },
926
+ "115": {
927
+ "content": "<!--",
928
+ "lstrip": false,
929
+ "normalized": false,
930
+ "rstrip": false,
931
+ "single_word": false,
932
+ "special": false
933
+ },
934
+ "116": {
935
+ "content": "-->",
936
+ "lstrip": false,
937
+ "normalized": false,
938
+ "rstrip": false,
939
+ "single_word": false,
940
+ "special": false
941
+ },
942
+ "117": {
943
+ "content": "---",
944
+ "lstrip": false,
945
+ "normalized": false,
946
+ "rstrip": false,
947
+ "single_word": false,
948
+ "special": false
949
+ },
950
+ "118": {
951
+ "content": "<!DOCTYPE>",
952
+ "lstrip": false,
953
+ "normalized": false,
954
+ "rstrip": false,
955
+ "single_word": false,
956
+ "special": false
957
+ },
958
+ "119": {
959
+ "content": "\t\t\t\t\t\t\t\t",
960
+ "lstrip": false,
961
+ "normalized": false,
962
+ "rstrip": false,
963
+ "single_word": false,
964
+ "special": false
965
+ },
966
+ "120": {
967
+ "content": "\t\t\t\t\t\t\t",
968
+ "lstrip": false,
969
+ "normalized": false,
970
+ "rstrip": false,
971
+ "single_word": false,
972
+ "special": false
973
+ },
974
+ "121": {
975
+ "content": "\t\t\t\t\t\t",
976
+ "lstrip": false,
977
+ "normalized": false,
978
+ "rstrip": false,
979
+ "single_word": false,
980
+ "special": false
981
+ },
982
+ "122": {
983
+ "content": "\t\t\t\t\t",
984
+ "lstrip": false,
985
+ "normalized": false,
986
+ "rstrip": false,
987
+ "single_word": false,
988
+ "special": false
989
+ },
990
+ "123": {
991
+ "content": "\t\t\t\t",
992
+ "lstrip": false,
993
+ "normalized": false,
994
+ "rstrip": false,
995
+ "single_word": false,
996
+ "special": false
997
+ },
998
+ "124": {
999
+ "content": "\t\t\t",
1000
+ "lstrip": false,
1001
+ "normalized": false,
1002
+ "rstrip": false,
1003
+ "single_word": false,
1004
+ "special": false
1005
+ },
1006
+ "125": {
1007
+ "content": "\t\t",
1008
+ "lstrip": false,
1009
+ "normalized": false,
1010
+ "rstrip": false,
1011
+ "single_word": false,
1012
+ "special": false
1013
+ },
1014
+ "126": {
1015
+ "content": "\t",
1016
+ "lstrip": false,
1017
+ "normalized": false,
1018
+ "rstrip": false,
1019
+ "single_word": false,
1020
+ "special": false
1021
+ },
1022
+ "127": {
1023
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1024
+ "lstrip": false,
1025
+ "normalized": false,
1026
+ "rstrip": false,
1027
+ "single_word": false,
1028
+ "special": false
1029
+ },
1030
+ "128": {
1031
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1032
+ "lstrip": false,
1033
+ "normalized": false,
1034
+ "rstrip": false,
1035
+ "single_word": false,
1036
+ "special": false
1037
+ },
1038
+ "129": {
1039
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1040
+ "lstrip": false,
1041
+ "normalized": false,
1042
+ "rstrip": false,
1043
+ "single_word": false,
1044
+ "special": false
1045
+ },
1046
+ "130": {
1047
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
1048
+ "lstrip": false,
1049
+ "normalized": false,
1050
+ "rstrip": false,
1051
+ "single_word": false,
1052
+ "special": false
1053
+ },
1054
+ "131": {
1055
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
1056
+ "lstrip": false,
1057
+ "normalized": false,
1058
+ "rstrip": false,
1059
+ "single_word": false,
1060
+ "special": false
1061
+ },
1062
+ "132": {
1063
+ "content": "▁▁▁▁▁▁▁▁▁▁▁",
1064
+ "lstrip": false,
1065
+ "normalized": false,
1066
+ "rstrip": false,
1067
+ "single_word": false,
1068
+ "special": false
1069
+ },
1070
+ "133": {
1071
+ "content": "▁▁▁▁▁▁▁▁▁▁",
1072
+ "lstrip": false,
1073
+ "normalized": false,
1074
+ "rstrip": false,
1075
+ "single_word": false,
1076
+ "special": false
1077
+ },
1078
+ "134": {
1079
+ "content": "▁▁▁▁▁▁▁▁▁",
1080
+ "lstrip": false,
1081
+ "normalized": false,
1082
+ "rstrip": false,
1083
+ "single_word": false,
1084
+ "special": false
1085
+ },
1086
+ "135": {
1087
+ "content": "▁▁▁▁▁▁▁▁",
1088
+ "lstrip": false,
1089
+ "normalized": false,
1090
+ "rstrip": false,
1091
+ "single_word": false,
1092
+ "special": false
1093
+ },
1094
+ "136": {
1095
+ "content": "▁▁▁▁▁▁▁",
1096
+ "lstrip": false,
1097
+ "normalized": false,
1098
+ "rstrip": false,
1099
+ "single_word": false,
1100
+ "special": false
1101
+ },
1102
+ "137": {
1103
+ "content": "▁▁▁▁▁▁",
1104
+ "lstrip": false,
1105
+ "normalized": false,
1106
+ "rstrip": false,
1107
+ "single_word": false,
1108
+ "special": false
1109
+ },
1110
+ "138": {
1111
+ "content": "▁▁▁▁▁",
1112
+ "lstrip": false,
1113
+ "normalized": false,
1114
+ "rstrip": false,
1115
+ "single_word": false,
1116
+ "special": false
1117
+ },
1118
+ "139": {
1119
+ "content": "▁▁▁▁",
1120
+ "lstrip": false,
1121
+ "normalized": false,
1122
+ "rstrip": false,
1123
+ "single_word": false,
1124
+ "special": false
1125
+ },
1126
+ "140": {
1127
+ "content": "▁▁▁",
1128
+ "lstrip": false,
1129
+ "normalized": false,
1130
+ "rstrip": false,
1131
+ "single_word": false,
1132
+ "special": false
1133
+ },
1134
+ "141": {
1135
+ "content": "▁▁",
1136
+ "lstrip": false,
1137
+ "normalized": false,
1138
+ "rstrip": false,
1139
+ "single_word": false,
1140
+ "special": false
1141
+ },
1142
+ "142": {
1143
+ "content": "\b",
1144
+ "lstrip": false,
1145
+ "normalized": false,
1146
+ "rstrip": false,
1147
+ "single_word": false,
1148
+ "special": false
1149
+ },
1150
+ "143": {
1151
+ "content": "\r",
1152
+ "lstrip": false,
1153
+ "normalized": false,
1154
+ "rstrip": false,
1155
+ "single_word": false,
1156
+ "special": false
1157
+ },
1158
+ "144": {
1159
+ "content": "\n",
1160
+ "lstrip": false,
1161
+ "normalized": false,
1162
+ "rstrip": false,
1163
+ "single_word": false,
1164
+ "special": false
1165
+ },
1166
+ "145": {
1167
+ "content": "<|unused000|>",
1168
+ "lstrip": false,
1169
+ "normalized": false,
1170
+ "rstrip": false,
1171
+ "single_word": false,
1172
+ "special": false
1173
+ },
1174
+ "146": {
1175
+ "content": "<|unused001|>",
1176
+ "lstrip": false,
1177
+ "normalized": false,
1178
+ "rstrip": false,
1179
+ "single_word": false,
1180
+ "special": false
1181
+ },
1182
+ "147": {
1183
+ "content": "<|unused002|>",
1184
+ "lstrip": false,
1185
+ "normalized": false,
1186
+ "rstrip": false,
1187
+ "single_word": false,
1188
+ "special": false
1189
+ },
1190
+ "148": {
1191
+ "content": "<|unused003|>",
1192
+ "lstrip": false,
1193
+ "normalized": false,
1194
+ "rstrip": false,
1195
+ "single_word": false,
1196
+ "special": false
1197
+ },
1198
+ "149": {
1199
+ "content": "<|unused004|>",
1200
+ "lstrip": false,
1201
+ "normalized": false,
1202
+ "rstrip": false,
1203
+ "single_word": false,
1204
+ "special": false
1205
+ },
1206
+ "150": {
1207
+ "content": "<|unused005|>",
1208
+ "lstrip": false,
1209
+ "normalized": false,
1210
+ "rstrip": false,
1211
+ "single_word": false,
1212
+ "special": false
1213
+ },
1214
+ "151": {
1215
+ "content": "<|unused006|>",
1216
+ "lstrip": false,
1217
+ "normalized": false,
1218
+ "rstrip": false,
1219
+ "single_word": false,
1220
+ "special": false
1221
+ },
1222
+ "152": {
1223
+ "content": "<|unused007|>",
1224
+ "lstrip": false,
1225
+ "normalized": false,
1226
+ "rstrip": false,
1227
+ "single_word": false,
1228
+ "special": false
1229
+ },
1230
+ "153": {
1231
+ "content": "<|unused008|>",
1232
+ "lstrip": false,
1233
+ "normalized": false,
1234
+ "rstrip": false,
1235
+ "single_word": false,
1236
+ "special": false
1237
+ },
1238
+ "154": {
1239
+ "content": "<|unused009|>",
1240
+ "lstrip": false,
1241
+ "normalized": false,
1242
+ "rstrip": false,
1243
+ "single_word": false,
1244
+ "special": false
1245
+ },
1246
+ "155": {
1247
+ "content": "<|unused010|>",
1248
+ "lstrip": false,
1249
+ "normalized": false,
1250
+ "rstrip": false,
1251
+ "single_word": false,
1252
+ "special": false
1253
+ },
1254
+ "156": {
1255
+ "content": "<|unused011|>",
1256
+ "lstrip": false,
1257
+ "normalized": false,
1258
+ "rstrip": false,
1259
+ "single_word": false,
1260
+ "special": false
1261
+ },
1262
+ "157": {
1263
+ "content": "<|unused012|>",
1264
+ "lstrip": false,
1265
+ "normalized": false,
1266
+ "rstrip": false,
1267
+ "single_word": false,
1268
+ "special": false
1269
+ },
1270
+ "158": {
1271
+ "content": "<|unused013|>",
1272
+ "lstrip": false,
1273
+ "normalized": false,
1274
+ "rstrip": false,
1275
+ "single_word": false,
1276
+ "special": false
1277
+ },
1278
+ "159": {
1279
+ "content": "<|unused014|>",
1280
+ "lstrip": false,
1281
+ "normalized": false,
1282
+ "rstrip": false,
1283
+ "single_word": false,
1284
+ "special": false
1285
+ },
1286
+ "160": {
1287
+ "content": "<|unused015|>",
1288
+ "lstrip": false,
1289
+ "normalized": false,
1290
+ "rstrip": false,
1291
+ "single_word": false,
1292
+ "special": false
1293
+ },
1294
+ "161": {
1295
+ "content": "<|unused016|>",
1296
+ "lstrip": false,
1297
+ "normalized": false,
1298
+ "rstrip": false,
1299
+ "single_word": false,
1300
+ "special": false
1301
+ },
1302
+ "162": {
1303
+ "content": "<|unused017|>",
1304
+ "lstrip": false,
1305
+ "normalized": false,
1306
+ "rstrip": false,
1307
+ "single_word": false,
1308
+ "special": false
1309
+ },
1310
+ "163": {
1311
+ "content": "<|unused018|>",
1312
+ "lstrip": false,
1313
+ "normalized": false,
1314
+ "rstrip": false,
1315
+ "single_word": false,
1316
+ "special": false
1317
+ },
1318
+ "164": {
1319
+ "content": "<|unused019|>",
1320
+ "lstrip": false,
1321
+ "normalized": false,
1322
+ "rstrip": false,
1323
+ "single_word": false,
1324
+ "special": false
1325
+ },
1326
+ "165": {
1327
+ "content": "<|unused020|>",
1328
+ "lstrip": false,
1329
+ "normalized": false,
1330
+ "rstrip": false,
1331
+ "single_word": false,
1332
+ "special": false
1333
+ },
1334
+ "166": {
1335
+ "content": "<|unused021|>",
1336
+ "lstrip": false,
1337
+ "normalized": false,
1338
+ "rstrip": false,
1339
+ "single_word": false,
1340
+ "special": false
1341
+ },
1342
+ "167": {
1343
+ "content": "<|unused022|>",
1344
+ "lstrip": false,
1345
+ "normalized": false,
1346
+ "rstrip": false,
1347
+ "single_word": false,
1348
+ "special": false
1349
+ },
1350
+ "168": {
1351
+ "content": "<|unused023|>",
1352
+ "lstrip": false,
1353
+ "normalized": false,
1354
+ "rstrip": false,
1355
+ "single_word": false,
1356
+ "special": false
1357
+ },
1358
+ "169": {
1359
+ "content": "<|unused024|>",
1360
+ "lstrip": false,
1361
+ "normalized": false,
1362
+ "rstrip": false,
1363
+ "single_word": false,
1364
+ "special": false
1365
+ },
1366
+ "170": {
1367
+ "content": "<|unused025|>",
1368
+ "lstrip": false,
1369
+ "normalized": false,
1370
+ "rstrip": false,
1371
+ "single_word": false,
1372
+ "special": false
1373
+ },
1374
+ "171": {
1375
+ "content": "<|unused026|>",
1376
+ "lstrip": false,
1377
+ "normalized": false,
1378
+ "rstrip": false,
1379
+ "single_word": false,
1380
+ "special": false
1381
+ },
1382
+ "172": {
1383
+ "content": "<|unused027|>",
1384
+ "lstrip": false,
1385
+ "normalized": false,
1386
+ "rstrip": false,
1387
+ "single_word": false,
1388
+ "special": false
1389
+ },
1390
+ "173": {
1391
+ "content": "<|unused028|>",
1392
+ "lstrip": false,
1393
+ "normalized": false,
1394
+ "rstrip": false,
1395
+ "single_word": false,
1396
+ "special": false
1397
+ },
1398
+ "174": {
1399
+ "content": "<|unused029|>",
1400
+ "lstrip": false,
1401
+ "normalized": false,
1402
+ "rstrip": false,
1403
+ "single_word": false,
1404
+ "special": false
1405
+ },
1406
+ "175": {
1407
+ "content": "<|unused030|>",
1408
+ "lstrip": false,
1409
+ "normalized": false,
1410
+ "rstrip": false,
1411
+ "single_word": false,
1412
+ "special": false
1413
+ },
1414
+ "176": {
1415
+ "content": "<|unused031|>",
1416
+ "lstrip": false,
1417
+ "normalized": false,
1418
+ "rstrip": false,
1419
+ "single_word": false,
1420
+ "special": false
1421
+ },
1422
+ "177": {
1423
+ "content": "<|unused032|>",
1424
+ "lstrip": false,
1425
+ "normalized": false,
1426
+ "rstrip": false,
1427
+ "single_word": false,
1428
+ "special": false
1429
+ },
1430
+ "178": {
1431
+ "content": "<|unused033|>",
1432
+ "lstrip": false,
1433
+ "normalized": false,
1434
+ "rstrip": false,
1435
+ "single_word": false,
1436
+ "special": false
1437
+ },
1438
+ "179": {
1439
+ "content": "<|unused034|>",
1440
+ "lstrip": false,
1441
+ "normalized": false,
1442
+ "rstrip": false,
1443
+ "single_word": false,
1444
+ "special": false
1445
+ },
1446
+ "180": {
1447
+ "content": "<|unused035|>",
1448
+ "lstrip": false,
1449
+ "normalized": false,
1450
+ "rstrip": false,
1451
+ "single_word": false,
1452
+ "special": false
1453
+ },
1454
+ "181": {
1455
+ "content": "<|unused036|>",
1456
+ "lstrip": false,
1457
+ "normalized": false,
1458
+ "rstrip": false,
1459
+ "single_word": false,
1460
+ "special": false
1461
+ },
1462
+ "182": {
1463
+ "content": "<|unused037|>",
1464
+ "lstrip": false,
1465
+ "normalized": false,
1466
+ "rstrip": false,
1467
+ "single_word": false,
1468
+ "special": false
1469
+ },
1470
+ "183": {
1471
+ "content": "<|unused038|>",
1472
+ "lstrip": false,
1473
+ "normalized": false,
1474
+ "rstrip": false,
1475
+ "single_word": false,
1476
+ "special": false
1477
+ },
1478
+ "184": {
1479
+ "content": "<|unused039|>",
1480
+ "lstrip": false,
1481
+ "normalized": false,
1482
+ "rstrip": false,
1483
+ "single_word": false,
1484
+ "special": false
1485
+ },
1486
+ "185": {
1487
+ "content": "<|unused040|>",
1488
+ "lstrip": false,
1489
+ "normalized": false,
1490
+ "rstrip": false,
1491
+ "single_word": false,
1492
+ "special": false
1493
+ },
1494
+ "186": {
1495
+ "content": "<|unused041|>",
1496
+ "lstrip": false,
1497
+ "normalized": false,
1498
+ "rstrip": false,
1499
+ "single_word": false,
1500
+ "special": false
1501
+ },
1502
+ "187": {
1503
+ "content": "<|unused042|>",
1504
+ "lstrip": false,
1505
+ "normalized": false,
1506
+ "rstrip": false,
1507
+ "single_word": false,
1508
+ "special": false
1509
+ },
1510
+ "188": {
1511
+ "content": "<|unused043|>",
1512
+ "lstrip": false,
1513
+ "normalized": false,
1514
+ "rstrip": false,
1515
+ "single_word": false,
1516
+ "special": false
1517
+ },
1518
+ "189": {
1519
+ "content": "<|unused044|>",
1520
+ "lstrip": false,
1521
+ "normalized": false,
1522
+ "rstrip": false,
1523
+ "single_word": false,
1524
+ "special": false
1525
+ },
1526
+ "190": {
1527
+ "content": "<|unused045|>",
1528
+ "lstrip": false,
1529
+ "normalized": false,
1530
+ "rstrip": false,
1531
+ "single_word": false,
1532
+ "special": false
1533
+ },
1534
+ "191": {
1535
+ "content": "<|unused046|>",
1536
+ "lstrip": false,
1537
+ "normalized": false,
1538
+ "rstrip": false,
1539
+ "single_word": false,
1540
+ "special": false
1541
+ },
1542
+ "192": {
1543
+ "content": "<|unused047|>",
1544
+ "lstrip": false,
1545
+ "normalized": false,
1546
+ "rstrip": false,
1547
+ "single_word": false,
1548
+ "special": false
1549
+ },
1550
+ "193": {
1551
+ "content": "<|unused048|>",
1552
+ "lstrip": false,
1553
+ "normalized": false,
1554
+ "rstrip": false,
1555
+ "single_word": false,
1556
+ "special": false
1557
+ },
1558
+ "194": {
1559
+ "content": "<|unused049|>",
1560
+ "lstrip": false,
1561
+ "normalized": false,
1562
+ "rstrip": false,
1563
+ "single_word": false,
1564
+ "special": false
1565
+ },
1566
+ "195": {
1567
+ "content": "<|unused050|>",
1568
+ "lstrip": false,
1569
+ "normalized": false,
1570
+ "rstrip": false,
1571
+ "single_word": false,
1572
+ "special": false
1573
+ },
1574
+ "196": {
1575
+ "content": "<|unused051|>",
1576
+ "lstrip": false,
1577
+ "normalized": false,
1578
+ "rstrip": false,
1579
+ "single_word": false,
1580
+ "special": false
1581
+ },
1582
+ "197": {
1583
+ "content": "<|unused052|>",
1584
+ "lstrip": false,
1585
+ "normalized": false,
1586
+ "rstrip": false,
1587
+ "single_word": false,
1588
+ "special": false
1589
+ },
1590
+ "198": {
1591
+ "content": "<|unused053|>",
1592
+ "lstrip": false,
1593
+ "normalized": false,
1594
+ "rstrip": false,
1595
+ "single_word": false,
1596
+ "special": false
1597
+ },
1598
+ "199": {
1599
+ "content": "<|unused054|>",
1600
+ "lstrip": false,
1601
+ "normalized": false,
1602
+ "rstrip": false,
1603
+ "single_word": false,
1604
+ "special": false
1605
+ },
1606
+ "200": {
1607
+ "content": "<|unused055|>",
1608
+ "lstrip": false,
1609
+ "normalized": false,
1610
+ "rstrip": false,
1611
+ "single_word": false,
1612
+ "special": false
1613
+ },
1614
+ "201": {
1615
+ "content": "<|unused056|>",
1616
+ "lstrip": false,
1617
+ "normalized": false,
1618
+ "rstrip": false,
1619
+ "single_word": false,
1620
+ "special": false
1621
+ },
1622
+ "202": {
1623
+ "content": "<|unused057|>",
1624
+ "lstrip": false,
1625
+ "normalized": false,
1626
+ "rstrip": false,
1627
+ "single_word": false,
1628
+ "special": false
1629
+ },
1630
+ "203": {
1631
+ "content": "<|unused058|>",
1632
+ "lstrip": false,
1633
+ "normalized": false,
1634
+ "rstrip": false,
1635
+ "single_word": false,
1636
+ "special": false
1637
+ },
1638
+ "204": {
1639
+ "content": "<|unused059|>",
1640
+ "lstrip": false,
1641
+ "normalized": false,
1642
+ "rstrip": false,
1643
+ "single_word": false,
1644
+ "special": false
1645
+ },
1646
+ "205": {
1647
+ "content": "<|unused060|>",
1648
+ "lstrip": false,
1649
+ "normalized": false,
1650
+ "rstrip": false,
1651
+ "single_word": false,
1652
+ "special": false
1653
+ },
1654
+ "206": {
1655
+ "content": "<|unused061|>",
1656
+ "lstrip": false,
1657
+ "normalized": false,
1658
+ "rstrip": false,
1659
+ "single_word": false,
1660
+ "special": false
1661
+ },
1662
+ "207": {
1663
+ "content": "<|unused062|>",
1664
+ "lstrip": false,
1665
+ "normalized": false,
1666
+ "rstrip": false,
1667
+ "single_word": false,
1668
+ "special": false
1669
+ },
1670
+ "208": {
1671
+ "content": "<|unused063|>",
1672
+ "lstrip": false,
1673
+ "normalized": false,
1674
+ "rstrip": false,
1675
+ "single_word": false,
1676
+ "special": false
1677
+ },
1678
+ "209": {
1679
+ "content": "<|unused064|>",
1680
+ "lstrip": false,
1681
+ "normalized": false,
1682
+ "rstrip": false,
1683
+ "single_word": false,
1684
+ "special": false
1685
+ },
1686
+ "210": {
1687
+ "content": "<|unused065|>",
1688
+ "lstrip": false,
1689
+ "normalized": false,
1690
+ "rstrip": false,
1691
+ "single_word": false,
1692
+ "special": false
1693
+ },
1694
+ "211": {
1695
+ "content": "<|unused066|>",
1696
+ "lstrip": false,
1697
+ "normalized": false,
1698
+ "rstrip": false,
1699
+ "single_word": false,
1700
+ "special": false
1701
+ },
1702
+ "212": {
1703
+ "content": "<|unused067|>",
1704
+ "lstrip": false,
1705
+ "normalized": false,
1706
+ "rstrip": false,
1707
+ "single_word": false,
1708
+ "special": false
1709
+ },
1710
+ "213": {
1711
+ "content": "<|unused068|>",
1712
+ "lstrip": false,
1713
+ "normalized": false,
1714
+ "rstrip": false,
1715
+ "single_word": false,
1716
+ "special": false
1717
+ },
1718
+ "214": {
1719
+ "content": "<|unused069|>",
1720
+ "lstrip": false,
1721
+ "normalized": false,
1722
+ "rstrip": false,
1723
+ "single_word": false,
1724
+ "special": false
1725
+ },
1726
+ "215": {
1727
+ "content": "<|unused070|>",
1728
+ "lstrip": false,
1729
+ "normalized": false,
1730
+ "rstrip": false,
1731
+ "single_word": false,
1732
+ "special": false
1733
+ },
1734
+ "216": {
1735
+ "content": "<|unused071|>",
1736
+ "lstrip": false,
1737
+ "normalized": false,
1738
+ "rstrip": false,
1739
+ "single_word": false,
1740
+ "special": false
1741
+ },
1742
+ "217": {
1743
+ "content": "<|unused072|>",
1744
+ "lstrip": false,
1745
+ "normalized": false,
1746
+ "rstrip": false,
1747
+ "single_word": false,
1748
+ "special": false
1749
+ },
1750
+ "218": {
1751
+ "content": "<|unused073|>",
1752
+ "lstrip": false,
1753
+ "normalized": false,
1754
+ "rstrip": false,
1755
+ "single_word": false,
1756
+ "special": false
1757
+ },
1758
+ "219": {
1759
+ "content": "<|unused074|>",
1760
+ "lstrip": false,
1761
+ "normalized": false,
1762
+ "rstrip": false,
1763
+ "single_word": false,
1764
+ "special": false
1765
+ },
1766
+ "220": {
1767
+ "content": "<|unused075|>",
1768
+ "lstrip": false,
1769
+ "normalized": false,
1770
+ "rstrip": false,
1771
+ "single_word": false,
1772
+ "special": false
1773
+ },
1774
+ "221": {
1775
+ "content": "<|unused076|>",
1776
+ "lstrip": false,
1777
+ "normalized": false,
1778
+ "rstrip": false,
1779
+ "single_word": false,
1780
+ "special": false
1781
+ },
1782
+ "222": {
1783
+ "content": "<|unused077|>",
1784
+ "lstrip": false,
1785
+ "normalized": false,
1786
+ "rstrip": false,
1787
+ "single_word": false,
1788
+ "special": false
1789
+ },
1790
+ "223": {
1791
+ "content": "<|unused078|>",
1792
+ "lstrip": false,
1793
+ "normalized": false,
1794
+ "rstrip": false,
1795
+ "single_word": false,
1796
+ "special": false
1797
+ },
1798
+ "224": {
1799
+ "content": "<|unused079|>",
1800
+ "lstrip": false,
1801
+ "normalized": false,
1802
+ "rstrip": false,
1803
+ "single_word": false,
1804
+ "special": false
1805
+ },
1806
+ "225": {
1807
+ "content": "<|unused080|>",
1808
+ "lstrip": false,
1809
+ "normalized": false,
1810
+ "rstrip": false,
1811
+ "single_word": false,
1812
+ "special": false
1813
+ },
1814
+ "226": {
1815
+ "content": "<|unused081|>",
1816
+ "lstrip": false,
1817
+ "normalized": false,
1818
+ "rstrip": false,
1819
+ "single_word": false,
1820
+ "special": false
1821
+ },
1822
+ "227": {
1823
+ "content": "<|unused082|>",
1824
+ "lstrip": false,
1825
+ "normalized": false,
1826
+ "rstrip": false,
1827
+ "single_word": false,
1828
+ "special": false
1829
+ },
1830
+ "228": {
1831
+ "content": "<|unused083|>",
1832
+ "lstrip": false,
1833
+ "normalized": false,
1834
+ "rstrip": false,
1835
+ "single_word": false,
1836
+ "special": false
1837
+ },
1838
+ "229": {
1839
+ "content": "<|unused084|>",
1840
+ "lstrip": false,
1841
+ "normalized": false,
1842
+ "rstrip": false,
1843
+ "single_word": false,
1844
+ "special": false
1845
+ },
1846
+ "230": {
1847
+ "content": "<|unused085|>",
1848
+ "lstrip": false,
1849
+ "normalized": false,
1850
+ "rstrip": false,
1851
+ "single_word": false,
1852
+ "special": false
1853
+ },
1854
+ "231": {
1855
+ "content": "<|unused086|>",
1856
+ "lstrip": false,
1857
+ "normalized": false,
1858
+ "rstrip": false,
1859
+ "single_word": false,
1860
+ "special": false
1861
+ },
1862
+ "232": {
1863
+ "content": "<|unused087|>",
1864
+ "lstrip": false,
1865
+ "normalized": false,
1866
+ "rstrip": false,
1867
+ "single_word": false,
1868
+ "special": false
1869
+ },
1870
+ "233": {
1871
+ "content": "<|unused088|>",
1872
+ "lstrip": false,
1873
+ "normalized": false,
1874
+ "rstrip": false,
1875
+ "single_word": false,
1876
+ "special": false
1877
+ },
1878
+ "234": {
1879
+ "content": "<|unused089|>",
1880
+ "lstrip": false,
1881
+ "normalized": false,
1882
+ "rstrip": false,
1883
+ "single_word": false,
1884
+ "special": false
1885
+ },
1886
+ "235": {
1887
+ "content": "<|unused090|>",
1888
+ "lstrip": false,
1889
+ "normalized": false,
1890
+ "rstrip": false,
1891
+ "single_word": false,
1892
+ "special": false
1893
+ },
1894
+ "236": {
1895
+ "content": "<|unused091|>",
1896
+ "lstrip": false,
1897
+ "normalized": false,
1898
+ "rstrip": false,
1899
+ "single_word": false,
1900
+ "special": false
1901
+ },
1902
+ "237": {
1903
+ "content": "<|unused092|>",
1904
+ "lstrip": false,
1905
+ "normalized": false,
1906
+ "rstrip": false,
1907
+ "single_word": false,
1908
+ "special": false
1909
+ },
1910
+ "238": {
1911
+ "content": "<|unused093|>",
1912
+ "lstrip": false,
1913
+ "normalized": false,
1914
+ "rstrip": false,
1915
+ "single_word": false,
1916
+ "special": false
1917
+ },
1918
+ "239": {
1919
+ "content": "<|unused094|>",
1920
+ "lstrip": false,
1921
+ "normalized": false,
1922
+ "rstrip": false,
1923
+ "single_word": false,
1924
+ "special": false
1925
+ },
1926
+ "240": {
1927
+ "content": "<|unused095|>",
1928
+ "lstrip": false,
1929
+ "normalized": false,
1930
+ "rstrip": false,
1931
+ "single_word": false,
1932
+ "special": false
1933
+ },
1934
+ "241": {
1935
+ "content": "<|unused096|>",
1936
+ "lstrip": false,
1937
+ "normalized": false,
1938
+ "rstrip": false,
1939
+ "single_word": false,
1940
+ "special": false
1941
+ },
1942
+ "242": {
1943
+ "content": "<|unused097|>",
1944
+ "lstrip": false,
1945
+ "normalized": false,
1946
+ "rstrip": false,
1947
+ "single_word": false,
1948
+ "special": false
1949
+ },
1950
+ "243": {
1951
+ "content": "<|unused098|>",
1952
+ "lstrip": false,
1953
+ "normalized": false,
1954
+ "rstrip": false,
1955
+ "single_word": false,
1956
+ "special": false
1957
+ },
1958
+ "244": {
1959
+ "content": "<|unused099|>",
1960
+ "lstrip": false,
1961
+ "normalized": false,
1962
+ "rstrip": false,
1963
+ "single_word": false,
1964
+ "special": false
1965
+ },
1966
+ "245": {
1967
+ "content": "<|unused100|>",
1968
+ "lstrip": false,
1969
+ "normalized": false,
1970
+ "rstrip": false,
1971
+ "single_word": false,
1972
+ "special": false
1973
+ },
1974
+ "246": {
1975
+ "content": "<|unused101|>",
1976
+ "lstrip": false,
1977
+ "normalized": false,
1978
+ "rstrip": false,
1979
+ "single_word": false,
1980
+ "special": false
1981
+ },
1982
+ "247": {
1983
+ "content": "<|unused102|>",
1984
+ "lstrip": false,
1985
+ "normalized": false,
1986
+ "rstrip": false,
1987
+ "single_word": false,
1988
+ "special": false
1989
+ },
1990
+ "248": {
1991
+ "content": "<|unused103|>",
1992
+ "lstrip": false,
1993
+ "normalized": false,
1994
+ "rstrip": false,
1995
+ "single_word": false,
1996
+ "special": false
1997
+ },
1998
+ "249": {
1999
+ "content": "<|unused104|>",
2000
+ "lstrip": false,
2001
+ "normalized": false,
2002
+ "rstrip": false,
2003
+ "single_word": false,
2004
+ "special": false
2005
+ },
2006
+ "250": {
2007
+ "content": "<|unused105|>",
2008
+ "lstrip": false,
2009
+ "normalized": false,
2010
+ "rstrip": false,
2011
+ "single_word": false,
2012
+ "special": false
2013
+ },
2014
+ "251": {
2015
+ "content": "<|unused106|>",
2016
+ "lstrip": false,
2017
+ "normalized": false,
2018
+ "rstrip": false,
2019
+ "single_word": false,
2020
+ "special": false
2021
+ },
2022
+ "252": {
2023
+ "content": "<|unused107|>",
2024
+ "lstrip": false,
2025
+ "normalized": false,
2026
+ "rstrip": false,
2027
+ "single_word": false,
2028
+ "special": false
2029
+ },
2030
+ "253": {
2031
+ "content": "<|unused108|>",
2032
+ "lstrip": false,
2033
+ "normalized": false,
2034
+ "rstrip": false,
2035
+ "single_word": false,
2036
+ "special": false
2037
+ },
2038
+ "254": {
2039
+ "content": "<|unused109|>",
2040
+ "lstrip": false,
2041
+ "normalized": false,
2042
+ "rstrip": false,
2043
+ "single_word": false,
2044
+ "special": false
2045
+ },
2046
+ "255": {
2047
+ "content": "<|unused110|>",
2048
+ "lstrip": false,
2049
+ "normalized": false,
2050
+ "rstrip": false,
2051
+ "single_word": false,
2052
+ "special": false
2053
+ },
2054
+ "256": {
2055
+ "content": "<|unused111|>",
2056
+ "lstrip": false,
2057
+ "normalized": false,
2058
+ "rstrip": false,
2059
+ "single_word": false,
2060
+ "special": false
2061
+ },
2062
+ "257": {
2063
+ "content": "<|unused112|>",
2064
+ "lstrip": false,
2065
+ "normalized": false,
2066
+ "rstrip": false,
2067
+ "single_word": false,
2068
+ "special": false
2069
+ },
2070
+ "258": {
2071
+ "content": "<|unused113|>",
2072
+ "lstrip": false,
2073
+ "normalized": false,
2074
+ "rstrip": false,
2075
+ "single_word": false,
2076
+ "special": false
2077
+ },
2078
+ "259": {
2079
+ "content": "<|unused114|>",
2080
+ "lstrip": false,
2081
+ "normalized": false,
2082
+ "rstrip": false,
2083
+ "single_word": false,
2084
+ "special": false
2085
+ },
2086
+ "260": {
2087
+ "content": "<|unused115|>",
2088
+ "lstrip": false,
2089
+ "normalized": false,
2090
+ "rstrip": false,
2091
+ "single_word": false,
2092
+ "special": false
2093
+ },
2094
+ "261": {
2095
+ "content": "<|unused116|>",
2096
+ "lstrip": false,
2097
+ "normalized": false,
2098
+ "rstrip": false,
2099
+ "single_word": false,
2100
+ "special": false
2101
+ },
2102
+ "262": {
2103
+ "content": "<|unused117|>",
2104
+ "lstrip": false,
2105
+ "normalized": false,
2106
+ "rstrip": false,
2107
+ "single_word": false,
2108
+ "special": false
2109
+ },
2110
+ "263": {
2111
+ "content": "<|unused118|>",
2112
+ "lstrip": false,
2113
+ "normalized": false,
2114
+ "rstrip": false,
2115
+ "single_word": false,
2116
+ "special": false
2117
+ },
2118
+ "264": {
2119
+ "content": "<|unused119|>",
2120
+ "lstrip": false,
2121
+ "normalized": false,
2122
+ "rstrip": false,
2123
+ "single_word": false,
2124
+ "special": false
2125
+ },
2126
+ "265": {
2127
+ "content": "<|unused120|>",
2128
+ "lstrip": false,
2129
+ "normalized": false,
2130
+ "rstrip": false,
2131
+ "single_word": false,
2132
+ "special": false
2133
+ },
2134
+ "266": {
2135
+ "content": "<|unused121|>",
2136
+ "lstrip": false,
2137
+ "normalized": false,
2138
+ "rstrip": false,
2139
+ "single_word": false,
2140
+ "special": false
2141
+ },
2142
+ "267": {
2143
+ "content": "<|unused122|>",
2144
+ "lstrip": false,
2145
+ "normalized": false,
2146
+ "rstrip": false,
2147
+ "single_word": false,
2148
+ "special": false
2149
+ },
2150
+ "268": {
2151
+ "content": "<|unused123|>",
2152
+ "lstrip": false,
2153
+ "normalized": false,
2154
+ "rstrip": false,
2155
+ "single_word": false,
2156
+ "special": false
2157
+ },
2158
+ "269": {
2159
+ "content": "<|unused124|>",
2160
+ "lstrip": false,
2161
+ "normalized": false,
2162
+ "rstrip": false,
2163
+ "single_word": false,
2164
+ "special": false
2165
+ },
2166
+ "270": {
2167
+ "content": "<|unused125|>",
2168
+ "lstrip": false,
2169
+ "normalized": false,
2170
+ "rstrip": false,
2171
+ "single_word": false,
2172
+ "special": false
2173
+ },
2174
+ "271": {
2175
+ "content": "<|unused126|>",
2176
+ "lstrip": false,
2177
+ "normalized": false,
2178
+ "rstrip": false,
2179
+ "single_word": false,
2180
+ "special": false
2181
+ },
2182
+ "272": {
2183
+ "content": "<|unused127|>",
2184
+ "lstrip": false,
2185
+ "normalized": false,
2186
+ "rstrip": false,
2187
+ "single_word": false,
2188
+ "special": false
2189
+ },
2190
+ "273": {
2191
+ "content": "<|unused128|>",
2192
+ "lstrip": false,
2193
+ "normalized": false,
2194
+ "rstrip": false,
2195
+ "single_word": false,
2196
+ "special": false
2197
+ },
2198
+ "274": {
2199
+ "content": "<|unused129|>",
2200
+ "lstrip": false,
2201
+ "normalized": false,
2202
+ "rstrip": false,
2203
+ "single_word": false,
2204
+ "special": false
2205
+ },
2206
+ "275": {
2207
+ "content": "<|unused130|>",
2208
+ "lstrip": false,
2209
+ "normalized": false,
2210
+ "rstrip": false,
2211
+ "single_word": false,
2212
+ "special": false
2213
+ },
2214
+ "276": {
2215
+ "content": "<|unused131|>",
2216
+ "lstrip": false,
2217
+ "normalized": false,
2218
+ "rstrip": false,
2219
+ "single_word": false,
2220
+ "special": false
2221
+ },
2222
+ "277": {
2223
+ "content": "<|unused132|>",
2224
+ "lstrip": false,
2225
+ "normalized": false,
2226
+ "rstrip": false,
2227
+ "single_word": false,
2228
+ "special": false
2229
+ },
2230
+ "278": {
2231
+ "content": "<|unused133|>",
2232
+ "lstrip": false,
2233
+ "normalized": false,
2234
+ "rstrip": false,
2235
+ "single_word": false,
2236
+ "special": false
2237
+ },
2238
+ "279": {
2239
+ "content": "<|unused134|>",
2240
+ "lstrip": false,
2241
+ "normalized": false,
2242
+ "rstrip": false,
2243
+ "single_word": false,
2244
+ "special": false
2245
+ },
2246
+ "280": {
2247
+ "content": "<|unused135|>",
2248
+ "lstrip": false,
2249
+ "normalized": false,
2250
+ "rstrip": false,
2251
+ "single_word": false,
2252
+ "special": false
2253
+ },
2254
+ "281": {
2255
+ "content": "<|unused136|>",
2256
+ "lstrip": false,
2257
+ "normalized": false,
2258
+ "rstrip": false,
2259
+ "single_word": false,
2260
+ "special": false
2261
+ },
2262
+ "282": {
2263
+ "content": "<|unused137|>",
2264
+ "lstrip": false,
2265
+ "normalized": false,
2266
+ "rstrip": false,
2267
+ "single_word": false,
2268
+ "special": false
2269
+ },
2270
+ "283": {
2271
+ "content": "<|unused138|>",
2272
+ "lstrip": false,
2273
+ "normalized": false,
2274
+ "rstrip": false,
2275
+ "single_word": false,
2276
+ "special": false
2277
+ },
2278
+ "284": {
2279
+ "content": "<|unused139|>",
2280
+ "lstrip": false,
2281
+ "normalized": false,
2282
+ "rstrip": false,
2283
+ "single_word": false,
2284
+ "special": false
2285
+ },
2286
+ "285": {
2287
+ "content": "<|unused140|>",
2288
+ "lstrip": false,
2289
+ "normalized": false,
2290
+ "rstrip": false,
2291
+ "single_word": false,
2292
+ "special": false
2293
+ },
2294
+ "286": {
2295
+ "content": "<|unused141|>",
2296
+ "lstrip": false,
2297
+ "normalized": false,
2298
+ "rstrip": false,
2299
+ "single_word": false,
2300
+ "special": false
2301
+ },
2302
+ "287": {
2303
+ "content": "<|unused142|>",
2304
+ "lstrip": false,
2305
+ "normalized": false,
2306
+ "rstrip": false,
2307
+ "single_word": false,
2308
+ "special": false
2309
+ },
2310
+ "288": {
2311
+ "content": "<|unused143|>",
2312
+ "lstrip": false,
2313
+ "normalized": false,
2314
+ "rstrip": false,
2315
+ "single_word": false,
2316
+ "special": false
2317
+ },
2318
+ "289": {
2319
+ "content": "<|unused144|>",
2320
+ "lstrip": false,
2321
+ "normalized": false,
2322
+ "rstrip": false,
2323
+ "single_word": false,
2324
+ "special": false
2325
+ },
2326
+ "290": {
2327
+ "content": "<|unused145|>",
2328
+ "lstrip": false,
2329
+ "normalized": false,
2330
+ "rstrip": false,
2331
+ "single_word": false,
2332
+ "special": false
2333
+ },
2334
+ "291": {
2335
+ "content": "<|unused146|>",
2336
+ "lstrip": false,
2337
+ "normalized": false,
2338
+ "rstrip": false,
2339
+ "single_word": false,
2340
+ "special": false
2341
+ },
2342
+ "292": {
2343
+ "content": "<|unused147|>",
2344
+ "lstrip": false,
2345
+ "normalized": false,
2346
+ "rstrip": false,
2347
+ "single_word": false,
2348
+ "special": false
2349
+ },
2350
+ "293": {
2351
+ "content": "<|unused148|>",
2352
+ "lstrip": false,
2353
+ "normalized": false,
2354
+ "rstrip": false,
2355
+ "single_word": false,
2356
+ "special": false
2357
+ },
2358
+ "294": {
2359
+ "content": "<|unused149|>",
2360
+ "lstrip": false,
2361
+ "normalized": false,
2362
+ "rstrip": false,
2363
+ "single_word": false,
2364
+ "special": false
2365
+ },
2366
+ "295": {
2367
+ "content": "<|unused150|>",
2368
+ "lstrip": false,
2369
+ "normalized": false,
2370
+ "rstrip": false,
2371
+ "single_word": false,
2372
+ "special": false
2373
+ },
2374
+ "296": {
2375
+ "content": "<|unused151|>",
2376
+ "lstrip": false,
2377
+ "normalized": false,
2378
+ "rstrip": false,
2379
+ "single_word": false,
2380
+ "special": false
2381
+ },
2382
+ "297": {
2383
+ "content": "<|unused152|>",
2384
+ "lstrip": false,
2385
+ "normalized": false,
2386
+ "rstrip": false,
2387
+ "single_word": false,
2388
+ "special": false
2389
+ },
2390
+ "298": {
2391
+ "content": "<|unused153|>",
2392
+ "lstrip": false,
2393
+ "normalized": false,
2394
+ "rstrip": false,
2395
+ "single_word": false,
2396
+ "special": false
2397
+ },
2398
+ "299": {
2399
+ "content": "<|unused154|>",
2400
+ "lstrip": false,
2401
+ "normalized": false,
2402
+ "rstrip": false,
2403
+ "single_word": false,
2404
+ "special": false
2405
+ },
2406
+ "300": {
2407
+ "content": "<|unused155|>",
2408
+ "lstrip": false,
2409
+ "normalized": false,
2410
+ "rstrip": false,
2411
+ "single_word": false,
2412
+ "special": false
2413
+ },
2414
+ "301": {
2415
+ "content": "<|unused156|>",
2416
+ "lstrip": false,
2417
+ "normalized": false,
2418
+ "rstrip": false,
2419
+ "single_word": false,
2420
+ "special": false
2421
+ },
2422
+ "302": {
2423
+ "content": "<|unused157|>",
2424
+ "lstrip": false,
2425
+ "normalized": false,
2426
+ "rstrip": false,
2427
+ "single_word": false,
2428
+ "special": false
2429
+ },
2430
+ "303": {
2431
+ "content": "<|unused158|>",
2432
+ "lstrip": false,
2433
+ "normalized": false,
2434
+ "rstrip": false,
2435
+ "single_word": false,
2436
+ "special": false
2437
+ },
2438
+ "304": {
2439
+ "content": "<|unused159|>",
2440
+ "lstrip": false,
2441
+ "normalized": false,
2442
+ "rstrip": false,
2443
+ "single_word": false,
2444
+ "special": false
2445
+ }
2446
+ },
2447
+ "bos_token": "<|startoftext|>",
2448
+ "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
2449
+ "clean_up_tokenization_spaces": false,
2450
+ "eos_token": "<|im_end|>",
2451
+ "legacy": true,
2452
+ "model_max_length": 200000,
2453
+ "pad_token": "<unk>",
2454
+ "padding_side": "right",
2455
+ "sp_model_kwargs": {},
2456
+ "spaces_between_special_tokens": false,
2457
+ "split_special_tokens": false,
2458
+ "tokenizer_class": "LlamaTokenizer",
2459
+ "unk_token": "<unk>",
2460
+ "use_default_system_prompt": false
2461
+ }