Hjgugugjhuhjggg
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Browse files- README.md +87 -0
- config.json +27 -0
- mergekit_config.yml +57 -0
- model-00001-of-00011.safetensors +3 -0
- model-00002-of-00011.safetensors +3 -0
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +35 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
README.md
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---
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base_model:
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- lilmeaty/ksksksk
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* [lilmeaty/ksksksk](https://huggingface.co/lilmeaty/ksksksk)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- layer_range: [0, 40]
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model: lilmeaty/ksksksk
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parameters:
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normalize: true
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int8_mask: true
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density: 0.5
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weight: 0.1
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random_seed: 0
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temperature: 0.5
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top_p: 0.65
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inference: true
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max_tokens: 999999999
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stream: true
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quantization:
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method: int8
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value: 100
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quantization:
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method: int4
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value: 100
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- sources:
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- layer_range: [0, 3]
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model: lilmeaty/ksksksk
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parameters:
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normalize: true
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int8_mask: true
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density: 0.5
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weight: 0.1
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random_seed: 0
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temperature: 0.5
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top_p: 0.65
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inference: true
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max_tokens: 999999999
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stream: true
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quantization:
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method: int8
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value: 100
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quantization:
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method: int4
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value: 100
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parameters:
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normalize: true
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int8_mask: true
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density: 0.5
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weight: 0.1
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random_seed: 0
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temperature: 0.5
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top_p: 0.65
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inference: true
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max_tokens: 999999999
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stream: true
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convert_to:
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type:
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- gguf
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value: 100.0
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merge_method: passthrough
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```
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config.json
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{
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"_name_or_path": "lilmeaty/ksksksk",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 43,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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"use_cache": false,
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"vocab_size": 32000
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}
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mergekit_config.yml
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slices:
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- sources:
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- layer_range: [0, 40]
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model: lilmeaty/ksksksk
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parameters:
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normalize: true
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int8_mask: true
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density: 0.5
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weight: 0.1
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random_seed: 0
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temperature: 0.5
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top_p: 0.65
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inference: true
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max_tokens: 999999999
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stream: true
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quantization:
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method: int8
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value: 100
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quantization:
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method: int4
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value: 100
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- sources:
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- layer_range: [0, 3]
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model: lilmeaty/ksksksk
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parameters:
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normalize: true
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+
int8_mask: true
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density: 0.5
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weight: 0.1
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+
random_seed: 0
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+
temperature: 0.5
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+
top_p: 0.65
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inference: true
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+
max_tokens: 999999999
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stream: true
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+
quantization:
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+
method: int8
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+
value: 100
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+
quantization:
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+
method: int4
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+
value: 100
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+
parameters:
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normalize: true
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+
int8_mask: true
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+
density: 0.5
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46 |
+
weight: 0.1
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47 |
+
random_seed: 0
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+
temperature: 0.5
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+
top_p: 0.65
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+
inference: true
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+
max_tokens: 999999999
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+
stream: true
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+
convert_to:
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+
type:
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- gguf
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value: 100.0
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merge_method: passthrough
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model-00001-of-00011.safetensors
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model-00006-of-00011.safetensors
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.5.1", "total_size": 9518968832}, "weight_map": {"lm_head.weight": "model-00001-of-00011.safetensors", "model.embed_tokens.weight": "model-00002-of-00011.safetensors", "model.layers.40.input_layernorm.weight": "model-00002-of-00011.safetensors", "model.layers.0.input_layernorm.weight": "model-00002-of-00011.safetensors", "model.layers.40.mlp.down_proj.weight": "model-00002-of-00011.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00002-of-00011.safetensors", "model.layers.40.mlp.gate_proj.weight": "model-00002-of-00011.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00002-of-00011.safetensors", "model.layers.40.mlp.up_proj.weight": "model-00003-of-00011.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00003-of-00011.safetensors", "model.layers.40.post_attention_layernorm.weight": "model-00003-of-00011.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00003-of-00011.safetensors", 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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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+
],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "</s>",
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+
"lstrip": false,
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+
"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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+
"lstrip": false,
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+
"normalized": false,
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32 |
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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+
{
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+
"add_bos_token": true,
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+
"add_eos_token": false,
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4 |
+
"add_prefix_space": null,
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5 |
+
"added_tokens_decoder": {
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+
"0": {
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+
"content": "<unk>",
|
8 |
+
"lstrip": false,
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9 |
+
"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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+
"1": {
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"content": "<s>",
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+
"lstrip": false,
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+
"normalized": false,
|
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"rstrip": false,
|
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+
"single_word": false,
|
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+
"special": true
|
21 |
+
},
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+
"2": {
|
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+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"additional_special_tokens": [
|
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+
"<unk>",
|
33 |
+
"<s>",
|
34 |
+
"</s>"
|
35 |
+
],
|
36 |
+
"bos_token": "<s>",
|
37 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{bos_token + message['role'] + '\n' + message['content'] + eos_token + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant\n' }}{% endif %}",
|
38 |
+
"clean_up_tokenization_spaces": false,
|
39 |
+
"eos_token": "</s>",
|
40 |
+
"legacy": true,
|
41 |
+
"max_length": 512,
|
42 |
+
"model_max_length": 1000000000000000019884624838656,
|
43 |
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"pad_to_multiple_of": null,
|
44 |
+
"pad_token": "</s>",
|
45 |
+
"pad_token_type_id": 0,
|
46 |
+
"padding_side": "left",
|
47 |
+
"sp_model_kwargs": {},
|
48 |
+
"spaces_between_special_tokens": false,
|
49 |
+
"stride": 0,
|
50 |
+
"tokenizer_class": "LlamaTokenizer",
|
51 |
+
"truncation_side": "right",
|
52 |
+
"truncation_strategy": "longest_first",
|
53 |
+
"unk_token": "<unk>",
|
54 |
+
"use_default_system_prompt": true
|
55 |
+
}
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