LoneStriker
commited on
Commit
•
27c9a4b
1
Parent(s):
c4995df
Upload folder using huggingface_hub
Browse files- Kyllene_v1.1.jpg +0 -0
- README.md +42 -0
- config.json +29 -0
- generation_config.json +8 -0
- merge-config.yml +142 -0
- mergemonster_kyllene_v11.txt +987 -0
- model.safetensors.index.json +550 -0
- output-00001-of-00003.safetensors +3 -0
- output-00002-of-00003.safetensors +3 -0
- output-00003-of-00003.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
Kyllene_v1.1.jpg
ADDED
README.md
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
license_name: yi-license
|
4 |
+
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
|
5 |
+
tags:
|
6 |
+
- merge
|
7 |
+
---
|
8 |
+
# Kyllene 34B v1.1
|
9 |
+
|
10 |
+
![image/png](https://huggingface.co/TeeZee/Kyllene-34B-v1.1/resolve/main/Kyllene_v1.1.jpg)
|
11 |
+
|
12 |
+
|
13 |
+
## Model Details
|
14 |
+
|
15 |
+
- A result of new merge method provided by [MergeMonster](https://github.com/Gryphe/MergeMonster/) tool with extended RPG preset.
|
16 |
+
- models used for merge:
|
17 |
+
[jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2)
|
18 |
+
[NousResearch/Nous-Capybara-34B](https://huggingface.co/NousResearch/Nous-Capybara-34B)
|
19 |
+
[NousResearch_Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B)
|
20 |
+
[SUSTech/SUS-Chat-34B](https://huggingface.co/SUSTech/SUS-Chat-34B)
|
21 |
+
- Method is aimed to maximize probability of certain phrases and minimize probablility of other phrases.
|
22 |
+
- RPG preset was extened with examples of typical, nonsensical output of most models like 'unbreakable bond', 'send shivers down her spine' etc.
|
23 |
+
- The resulting model has approximately 34 billion parameters.
|
24 |
+
- See [mergekit-config.yml](https://huggingface.co/TeeZee/Kyllene-34B-v1.1/resolve/main/merge-config.yml) for details on the merge method used and RPG presets.
|
25 |
+
|
26 |
+
**Warning: This model can produce NSFW content!**
|
27 |
+
|
28 |
+
## Results
|
29 |
+
|
30 |
+
- produces SFW nad NSFW content without issues, switches context seamlessly.
|
31 |
+
- 200K context length
|
32 |
+
- good at following instructions
|
33 |
+
- different than [TeeZee/Kyllene-57B-v1.0](https://huggingface.co/TeeZee/Kyllene-57B-v1.0), but also surprisingly entertaining (but more tests are needed)
|
34 |
+
|
35 |
+
## Side notes
|
36 |
+
|
37 |
+
- [MergeMonster](https://github.com/Gryphe/MergeMonster/) method works, however project would benefit greatly from some more love from developers.
|
38 |
+
- In its current state MergeMonster consumes insane amounts of RAM (256GB+) or VRAM and takes a really long time to process model data, this merge took 24H on 1xADA6000
|
39 |
+
- MergeMonster is not a golden bullet, other experiments has shown that it can also produce incredibly stupid models.
|
40 |
+
|
41 |
+
All comments are greatly appreciated, download, test and if you appreciate my work, consider buying me my fuel:
|
42 |
+
<a href="https://www.buymeacoffee.com/TeeZee" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "../jondurbin_bagel-dpo-34b-v0.2",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 7168,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 20480,
|
14 |
+
"max_position_embeddings": 200000,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 56,
|
17 |
+
"num_hidden_layers": 60,
|
18 |
+
"num_key_value_heads": 8,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"pretraining_tp": 1,
|
21 |
+
"rms_norm_eps": 1e-05,
|
22 |
+
"rope_scaling": null,
|
23 |
+
"rope_theta": 5000000.0,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "float16",
|
26 |
+
"transformers_version": "4.36.2",
|
27 |
+
"use_cache": false,
|
28 |
+
"vocab_size": 64000
|
29 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.36.2",
|
7 |
+
"use_cache": false
|
8 |
+
}
|
merge-config.yml
ADDED
@@ -0,0 +1,142 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
# Either "cpu" or "cuda"
|
3 |
+
# NOTE: Cuda requires enough VRAM to load 3 FP16 models (~45 GB for Mistral)
|
4 |
+
# NOTE 2: The (much slower) CPU mode still requires Cuda capability, but only enough VRAM to load a model once. (~15 GB for Mistral)
|
5 |
+
device: "cpu"
|
6 |
+
random_seed: 42 # Random seed to use
|
7 |
+
|
8 |
+
directories:
|
9 |
+
model_path1: "../jondurbin_bagel-dpo-34b-v0.2" # Path to the base model. Must be a local copy.
|
10 |
+
# model_directory: "../2xNous-Capybara-34B/" # Directory of models to scan, IGNORED if models_to_merge has entries in it
|
11 |
+
output_directory: "./mm-output" # Output directory of the merged model
|
12 |
+
|
13 |
+
# A list of models to use as merge candidates - HF syntax, so can be either local directories or repos.
|
14 |
+
# Overrides model_directory if used
|
15 |
+
models_to_merge: ["../NousResearch_Nous-Capybara-34B", "../NousResearch_Nous-Hermes-2-Yi-34B", "../SUSTech_SUS-Chat-34B"]
|
16 |
+
|
17 |
+
# Merge ratios used for testing each layer's potential for improvement - Huge impact on total running time
|
18 |
+
merge_ratios: [0.2, 0.4, 0.6, 0.8]
|
19 |
+
|
20 |
+
# Choose from the following methods. Defaults to "lerp".
|
21 |
+
# "lerp" - Linear interpolation
|
22 |
+
# "slerp" - Spherical linear interpolation
|
23 |
+
# "slice" - Highly experimental. The tensor weights shifts from one model to another. [Model 1 > 10% blend > Model 2]
|
24 |
+
# "cyclic" - Highly experimental. Ignores merge ratios as these are predefined. [Model 1 > 10% blend > 10% Model 2 > 10% blend > Model 1]
|
25 |
+
merge_method: "slerp"
|
26 |
+
|
27 |
+
# If set to true, the lm_head and embed_token tensors (located outside the layers) will also be optimized
|
28 |
+
# Models that have a different vocab size from model1 will skip this phase automatically as it tends to cause model stability issues
|
29 |
+
merge_headers: true
|
30 |
+
|
31 |
+
# Strategies:
|
32 |
+
# "cumulative" - Default strategy. If there's a chance of reducing the combined probability, accept the merge.
|
33 |
+
# "all_phrases" - Only accept the merge if all phrases show an improvement. (Warning: This rarely happens)
|
34 |
+
# "quantitive" - Ignores probabilities completely. Only looks at how many phrases show an improvement, as defined by the threshold below.
|
35 |
+
strategy: "cumulative"
|
36 |
+
# Threshold is currently only used by the "quantitive" strategy. If 0.6, at least 60% of the number of phrases must show am improvement.
|
37 |
+
strategy_threshold: 0.6
|
38 |
+
|
39 |
+
# Whether or not to automatically balance the weights so all phrases are of equal importance to the "cumulative" strategy.
|
40 |
+
# The weight value of phrases is ignored if set to true.
|
41 |
+
auto_weights: false
|
42 |
+
|
43 |
+
# Phrase = What to measure, weight = multiplication factor, contexts = proceeding contexts
|
44 |
+
bad_phrases:
|
45 |
+
- phrase: "anticipation"
|
46 |
+
weight: 12
|
47 |
+
contexts: ["Her body quivers with ", "The atmosphere is thick with "]
|
48 |
+
- phrase: "unwavering"
|
49 |
+
weight: 12
|
50 |
+
contexts: ["Filled with an "]
|
51 |
+
- phrase: "determination"
|
52 |
+
weight: 12
|
53 |
+
contexts: ["Her eyes were filled with ", "Her stubbornness only fuels my "]
|
54 |
+
- phrase: "whisper"
|
55 |
+
weight: 12
|
56 |
+
contexts: ["Her voice barely above a "]
|
57 |
+
- phrase: "spine"
|
58 |
+
weight: 12
|
59 |
+
contexts: ["shivers down her "]
|
60 |
+
- phrase: "sends shivers"
|
61 |
+
weight: 12
|
62 |
+
contexts: ["The thrill of the act "]
|
63 |
+
- phrase: "ministrations"
|
64 |
+
weight: 12
|
65 |
+
contexts: ["She moans and twitches at your "]
|
66 |
+
- phrase: "legs"
|
67 |
+
weight: 12
|
68 |
+
contexts: ["wraps her "]
|
69 |
+
- phrase: "imposing figure"
|
70 |
+
weight: 12
|
71 |
+
contexts: ["He had an "]
|
72 |
+
- phrase: "shared challenges"
|
73 |
+
weight: 12
|
74 |
+
contexts: ["Their bond strengthened through "]
|
75 |
+
- phrase: "bond"
|
76 |
+
weight: 12
|
77 |
+
contexts: ["forged a ", "an unspoken "]
|
78 |
+
- phrase: "enhance our experience"
|
79 |
+
weight: 12
|
80 |
+
contexts: ["I'm excited to see how "]
|
81 |
+
- phrase: "sense of vulnerability"
|
82 |
+
weight: 12
|
83 |
+
contexts: ["create a "]
|
84 |
+
- phrase: "dimensions of intimacy"
|
85 |
+
weight: 12
|
86 |
+
contexts: ["explore new "]
|
87 |
+
- phrase: "deepening our connection"
|
88 |
+
weight: 12
|
89 |
+
contexts: ["while "]
|
90 |
+
- phrase: "shared experiences"
|
91 |
+
weight: 12
|
92 |
+
contexts: ["through "]
|
93 |
+
- phrase: "societal expectations"
|
94 |
+
weight: 12
|
95 |
+
contexts: ["that transcend "]
|
96 |
+
- phrase: "conventional boundaries"
|
97 |
+
weight: 12
|
98 |
+
contexts: ["that defy ", "and defy "]
|
99 |
+
- phrase: "open communication"
|
100 |
+
weight: 12
|
101 |
+
contexts: ["an environment "]
|
102 |
+
- phrase: "emotional vulnerability"
|
103 |
+
weight: 12
|
104 |
+
contexts: ["an environment "]
|
105 |
+
- phrase: "heightens our connection"
|
106 |
+
weight: 12
|
107 |
+
contexts: ["touch and the anticipation "]
|
108 |
+
- phrase: "sensations you're creating"
|
109 |
+
weight: 12
|
110 |
+
contexts: ["I'm enjoying "]
|
111 |
+
- phrase: "is truly arousing"
|
112 |
+
weight: 12
|
113 |
+
contexts: ["attention to detail ", "way you explore my body "]
|
114 |
+
- phrase: "challenge presented"
|
115 |
+
weight: 12
|
116 |
+
contexts: ["my resolve unwavering despite "]
|
117 |
+
- phrase: "humble vessel"
|
118 |
+
weight: 12
|
119 |
+
contexts: ["surrendering to the exquisite torment "]
|
120 |
+
- phrase: "bond"
|
121 |
+
weight: 12
|
122 |
+
contexts: ["cherishing the unique ", "special "]
|
123 |
+
- phrase: "grows stronger with each passing day"
|
124 |
+
weight: 12
|
125 |
+
contexts: ["bond "]
|
126 |
+
- phrase: "that cannot be broken by time or circumstance"
|
127 |
+
weight: 12
|
128 |
+
contexts: ["bond "]
|
129 |
+
- phrase: "becomes unbreakable, eternal"
|
130 |
+
weight: 12
|
131 |
+
contexts: ["bond "]
|
132 |
+
- phrase: "grew stronger with each passing"
|
133 |
+
weight: 12
|
134 |
+
contexts: ["bond "]
|
135 |
+
|
136 |
+
|
137 |
+
# Note - Example of a complex phrase
|
138 |
+
good_phrases:
|
139 |
+
- phrase: "The apple is in the bedroom"
|
140 |
+
weight: 1
|
141 |
+
contexts: ["Question: If I'm in the living room and pick up the apple, go to the bedroom and drop the apple, then walk to the kitchen, where is the apple? Explain your reasoning. Answer: "]
|
142 |
+
|
mergemonster_kyllene_v11.txt
ADDED
@@ -0,0 +1,987 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
⠀⠀⠀⠀⠀⠀⣀⡀⠀⠀⣀⣤⣶⣾⣿⣿⣷⣶⣤⣀⠀⠀⣀⣀⠀⠀⠀⠀⠀⠀
|
3 |
+
⠀⠀⠀⠀⠀⠜⠉⣿⡆⣼⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣧⢰⣿⠉⠃⠀⠀⠀⠀⠀
|
4 |
+
⠀⢀⣤⣴⣦⣄⣴⠟⣸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡎⢻⣦⣠⣴⣦⣄⠀⠀
|
5 |
+
⠀⡞⠁⣠⣾⢿⣧⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⣽⡿⣷⣄⠈⢷⠀
|
6 |
+
⠀⣠⣾⠟⠁⢸⣿⠀⠘⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⠁⠀⣿⡇⠈⠻⣷⣄⠀
|
7 |
+
⣰⡿⠁⠀⢀⣾⣏⣾⣄⣰⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣇⣰⣷⣹⣷⠀⠀⠈⢿⣆
|
8 |
+
⣿⡇⠀⢠⣾⠏⢸⣿⣿⣿⣿⠋⢻⣿⣿⣿⣿⡟⠙⣿⣿⣿⣿⡇⠹⣷⡀⠀⢸⣿
|
9 |
+
⠹⣿⣴⡿⠋⠀⠈⠛⠉⣹⣿⣦⣄⡹⣿⣿⣋⣠⣶⣿⣏⠉⠛⠁⠀⠙⢿⣦⣿⠏
|
10 |
+
⠀⣸⣿⠿⠿⣿⣾⣿⡿⠿⣿⣿⣿⣿⡆⢰⣿⣿⣿⣿⠿⢿⣿⣶⣿⠿⠿⣻⣇⠀
|
11 |
+
⠀⣿⡇⢀⣴⣶⣤⣀⣴⣿⠿⣻⡿⣿⣧⣾⣿⢿⣟⠿⣿⣦⣀⣤⣶⣦⠀⢸⣿⠀
|
12 |
+
⠀⢿⣧⠈⠃⢀⣵⣿⡋⠁⢀⣿⡷⣿⡇⢻⣿⣿⣿⡀⠈⢛⣿⣮⡀⠘⠀⣼⡟⠀
|
13 |
+
⠀⠈⠻⣷⣤⣟⣋⣿⣧⣴⡿⠋⠀⣿⡇⢸⣿⠀⠙⢿⣦⣼⣿⣙⣻⣤⣾⠟⠁⠀
|
14 |
+
⠀⠀⠀⠈⢽⣿⠛⢻⣏⢉⣤⣶⣶⣿⠁⠈⣿⣶⣶⣤⡉⣽⡟⠛⣿⡏⠁⠀⠀⠀
|
15 |
+
⠀⠀⠀⠀⠈⠿⣷⣾⣾⣟⣉⣠⣿⢿⡇⢸⠿⣿⣄⣙⣻⣷⣷⣾⠿⠁⠀⠀⠀⠀
|
16 |
+
⠀⠀⠀⠀⠀⠀⠀⠀⠙⠻⠿⠛⢁⡼⠃⠘⢦⡈⠛⠿⠟⠃⠀⠀⠀⠀⠀⠀⠀⠀
|
17 |
+
|
18 |
+
01:05:33 - THE MERGE MONSTER HUNGERS
|
19 |
+
------------------------------------
|
20 |
+
Device : cpu
|
21 |
+
Random seed : 42
|
22 |
+
Starting model : ../jondurbin_bagel-dpo-34b-v0.2
|
23 |
+
Models to merge : ['../NousResearch_Nous-Capybara-34B', '../NousResearch_Nous-Hermes-2-Yi-34B', '../SUSTech_SUS-Chat-34B']
|
24 |
+
Output directory : ./mm-output
|
25 |
+
Phrases loaded : 31
|
26 |
+
Auto weights : False
|
27 |
+
Merge ratios : [0.2, 0.4, 0.6, 0.8]
|
28 |
+
Merge method(s) : ['slerp']
|
29 |
+
Merge headers : True
|
30 |
+
Strategy used : cumulative
|
31 |
+
------------------------------------
|
32 |
+
01:05:34 - Loading model (../jondurbin_bagel-dpo-34b-v0.2)...
|
33 |
+
Loading checkpoint shards: 100%|████████████████| 15/15 [00:32<00:00, 2.18s/it]
|
34 |
+
01:06:59 - Model loaded. Dtype: torch.float16
|
35 |
+
------------------------------------
|
36 |
+
|
37 |
+
-----------------------------------------------------------------------------------------------------
|
38 |
+
| Type | Phrase | Context | Raw Prob* | Used Prob** | Change |
|
39 |
+
-----------------------------------------------------------------------------------------------------
|
40 |
+
| BAD | anticipation | Her body quivers with | 0.00000% | 0.00% | N/A |
|
41 |
+
| BAD | anticipation | The atmosphere is thic.. | 0.00000% | 0.00% | N/A |
|
42 |
+
| BAD | unwavering | Filled with an | 0.00000% | 0.00% | N/A |
|
43 |
+
| BAD | determination | Her eyes were filled w.. | 0.00000% | 0.00% | N/A |
|
44 |
+
| BAD | determination | Her stubbornness only .. | 0.00000% | 0.00% | N/A |
|
45 |
+
| BAD | whisper | Her voice barely above.. | 0.00000% | 0.00% | N/A |
|
46 |
+
| BAD | spine | shivers down her | 0.00000% | 0.00% | N/A |
|
47 |
+
| BAD | sends shivers | The thrill of the act | 0.00000% | 0.00% | N/A |
|
48 |
+
| BAD | ministrations | She moans and twitches.. | 0.00006% | 0.00% | N/A |
|
49 |
+
| BAD | legs | wraps her | 0.00000% | 0.00% | N/A |
|
50 |
+
| BAD | imposing figure | He had an | 0.00000% | 0.00% | N/A |
|
51 |
+
| BAD | shared challenges | Their bond strengthene.. | 0.00001% | 0.00% | N/A |
|
52 |
+
| BAD | bond | forged a | 0.00008% | 0.00% | N/A |
|
53 |
+
| BAD | bond | an unspoken | 0.00009% | 0.00% | N/A |
|
54 |
+
| BAD | enhance our expe.. | I'm excited to see how | 0.00000% | 0.00% | N/A |
|
55 |
+
| BAD | sense of vulnera.. | create a | 0.00000% | 0.00% | N/A |
|
56 |
+
| BAD | dimensions of in.. | explore new | 0.00000% | 0.00% | N/A |
|
57 |
+
| BAD | deepening our co.. | while | 0.00000% | 0.00% | N/A |
|
58 |
+
| BAD | shared experiences | through | 0.00000% | 0.00% | N/A |
|
59 |
+
| BAD | societal expecta.. | that transcend | 0.00000% | 0.00% | N/A |
|
60 |
+
| BAD | conventional bou.. | that defy | 0.00000% | 0.00% | N/A |
|
61 |
+
| BAD | conventional bou.. | and defy | 0.00000% | 0.00% | N/A |
|
62 |
+
| BAD | open communication | an environment | 0.00000% | 0.00% | N/A |
|
63 |
+
| BAD | emotional vulner.. | an environment | 0.00000% | 0.00% | N/A |
|
64 |
+
| BAD | heightens our co.. | touch and the anticipa.. | 0.00000% | 0.00% | N/A |
|
65 |
+
| BAD | sensations you'r.. | I'm enjoying | 0.00000% | 0.00% | N/A |
|
66 |
+
| BAD | is truly arousing | attention to detail | 0.00000% | 0.00% | N/A |
|
67 |
+
| BAD | is truly arousing | way you explore my body | 0.00000% | 0.00% | N/A |
|
68 |
+
| BAD | challenge presen.. | my resolve unwavering .. | 0.00000% | 0.00% | N/A |
|
69 |
+
| BAD | humble vessel | surrendering to the ex.. | 0.00000% | 0.00% | N/A |
|
70 |
+
| BAD | bond | cherishing the unique | 0.00013% | 0.00% | N/A |
|
71 |
+
| BAD | bond | special | 0.00030% | 0.00% | N/A |
|
72 |
+
| BAD | grows stronger w.. | bond | 0.00000% | 0.00% | N/A |
|
73 |
+
| BAD | that cannot be b.. | bond | 0.00000% | 0.00% | N/A |
|
74 |
+
| BAD | becomes unbreaka.. | bond | 0.00000% | 0.00% | N/A |
|
75 |
+
| BAD | grew stronger wi.. | bond | 0.00000% | 0.00% | N/A |
|
76 |
+
| GOOD | The apple is in .. | Question: If I'm in th.. | 0.00139% | 0.00% | N/A |
|
77 |
+
------------------------------------------------------------------------------------------------------
|
78 |
+
| Totals | 0.00% | 0.01% | 0.00% |
|
79 |
+
------------------------------------------------------------------------------------------------------
|
80 |
+
* = Unweighted, raw probability - ** = Probability after weight adjustments
|
81 |
+
|
82 |
+
------------------------------------
|
83 |
+
01:07:39 - Loading model (../NousResearch_Nous-Capybara-34B)...
|
84 |
+
Loading checkpoint shards: 100%|██████████████████| 7/7 [01:04<00:00, 9.19s/it]
|
85 |
+
01:09:33 - Model loaded. Dtype: torch.float16
|
86 |
+
------------------------------------
|
87 |
+
Optimizing Layer 1/60 (slerp): 100%|██████████████| 4/4 [04:01<00:00, 60.38s/it]
|
88 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B']]
|
89 |
+
01:15:02 - Layer 1/60 - CHANGED - 0.00007 > 0.00006 - 2.5%
|
90 |
+
----
|
91 |
+
Optimizing Layer 2/60 (slerp): 100%|██████████████| 4/4 [03:52<00:00, 58.04s/it]
|
92 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
93 |
+
01:20:22 - Layer 2/60 - CHANGED - 0.00006 > 0.00006 - 1.6%
|
94 |
+
----
|
95 |
+
Optimizing Layer 3/60 (slerp): 100%|██████████████| 4/4 [04:03<00:00, 60.90s/it]
|
96 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
97 |
+
01:25:50 - Layer 3/60 - RETAINED - 0.00006
|
98 |
+
----
|
99 |
+
Optimizing Layer 4/60 (slerp): 100%|██████████████| 4/4 [05:28<00:00, 82.25s/it]
|
100 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
101 |
+
01:32:54 - Layer 4/60 - RETAINED - 0.00006
|
102 |
+
----
|
103 |
+
Optimizing Layer 5/60 (slerp): 100%|██████████████| 4/4 [04:15<00:00, 63.94s/it]
|
104 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
105 |
+
01:38:53 - Layer 5/60 - RETAINED - 0.00006
|
106 |
+
----
|
107 |
+
Optimizing Layer 6/60 (slerp): 100%|██████████████| 4/4 [04:16<00:00, 64.24s/it]
|
108 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
109 |
+
01:44:47 - Layer 6/60 - RETAINED - 0.00006
|
110 |
+
----
|
111 |
+
Optimizing Layer 7/60 (slerp): 100%|██████████████| 4/4 [04:04<00:00, 61.02s/it]
|
112 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
113 |
+
01:50:20 - Layer 7/60 - RETAINED - 0.00006
|
114 |
+
----
|
115 |
+
Optimizing Layer 8/60 (slerp): 100%|██████████████| 4/4 [04:07<00:00, 61.95s/it]
|
116 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
117 |
+
01:55:59 - Layer 8/60 - RETAINED - 0.00006
|
118 |
+
----
|
119 |
+
Optimizing Layer 9/60 (slerp): 100%|██████████████| 4/4 [04:04<00:00, 61.17s/it]
|
120 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
121 |
+
02:01:26 - Layer 9/60 - CHANGED - 0.00006 > 0.00006 - 1.3%
|
122 |
+
----
|
123 |
+
Optimizing Layer 10/60 (slerp): 100%|█████████████| 4/4 [03:56<00:00, 59.05s/it]
|
124 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
125 |
+
02:06:41 - Layer 10/60 - RETAINED - 0.00006
|
126 |
+
----
|
127 |
+
Optimizing Layer 11/60 (slerp): 100%|█████████████| 4/4 [03:43<00:00, 55.90s/it]
|
128 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
129 |
+
02:11:45 - Layer 11/60 - CHANGED - 0.00006 > 0.00006 - 4.8%
|
130 |
+
----
|
131 |
+
Optimizing Layer 12/60 (slerp): 100%|█████████████| 4/4 [03:53<00:00, 58.32s/it]
|
132 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
133 |
+
02:16:54 - Layer 12/60 - CHANGED - 0.00006 > 0.00005 - 12.2%
|
134 |
+
----
|
135 |
+
Optimizing Layer 13/60 (slerp): 100%|█████████████| 4/4 [04:09<00:00, 62.31s/it]
|
136 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
137 |
+
02:22:31 - Layer 13/60 - CHANGED - 0.00005 > 0.00005 - 3.6%
|
138 |
+
----
|
139 |
+
Optimizing Layer 14/60 (slerp): 100%|█████████████| 4/4 [03:31<00:00, 52.84s/it]
|
140 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
141 |
+
02:27:20 - Layer 14/60 - CHANGED - 0.00005 > 0.00005 - 1.5%
|
142 |
+
----
|
143 |
+
Optimizing Layer 15/60 (slerp): 100%|█████████████| 4/4 [04:26<00:00, 66.67s/it]
|
144 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
145 |
+
02:33:32 - Layer 15/60 - RETAINED - 0.00005
|
146 |
+
----
|
147 |
+
Optimizing Layer 16/60 (slerp): 100%|█████████████| 4/4 [04:36<00:00, 69.09s/it]
|
148 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
149 |
+
02:39:38 - Layer 16/60 - RETAINED - 0.00005
|
150 |
+
----
|
151 |
+
Optimizing Layer 17/60 (slerp): 100%|█████████████| 4/4 [04:22<00:00, 65.64s/it]
|
152 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
153 |
+
02:45:41 - Layer 17/60 - RETAINED - 0.00005
|
154 |
+
----
|
155 |
+
Optimizing Layer 18/60 (slerp): 100%|█████████████| 4/4 [04:39<00:00, 69.87s/it]
|
156 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
157 |
+
02:51:51 - Layer 18/60 - RETAINED - 0.00005
|
158 |
+
----
|
159 |
+
Optimizing Layer 19/60 (slerp): 100%|█████████████| 4/4 [05:10<00:00, 77.56s/it]
|
160 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
161 |
+
02:58:36 - Layer 19/60 - RETAINED - 0.00005
|
162 |
+
----
|
163 |
+
Optimizing Layer 20/60 (slerp): 100%|█████████████| 4/4 [05:03<00:00, 75.87s/it]
|
164 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
165 |
+
03:05:16 - Layer 20/60 - CHANGED - 0.00005 > 0.00005 - 0.2%
|
166 |
+
----
|
167 |
+
Optimizing Layer 21/60 (slerp): 100%|█████████████| 4/4 [05:42<00:00, 85.60s/it]
|
168 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
169 |
+
03:12:46 - Layer 21/60 - CHANGED - 0.00005 > 0.00001 - 77.3%
|
170 |
+
----
|
171 |
+
Optimizing Layer 22/60 (slerp): 100%|█████████████| 4/4 [05:48<00:00, 87.20s/it]
|
172 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
173 |
+
03:21:02 - Layer 22/60 - CHANGED - 0.00001 > -0.00000 - 126.4%
|
174 |
+
----
|
175 |
+
Optimizing Layer 23/60 (slerp): 100%|████████████| 4/4 [07:03<00:00, 105.79s/it]
|
176 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
177 |
+
03:30:53 - Layer 23/60 - CHANGED - -0.00000 > -0.00003 - 988.2%
|
178 |
+
----
|
179 |
+
Optimizing Layer 24/60 (slerp): 100%|█████████████| 4/4 [06:11<00:00, 92.99s/it]
|
180 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
181 |
+
03:39:09 - Layer 24/60 - CHANGED - -0.00003 > -0.00006 - 90.8%
|
182 |
+
----
|
183 |
+
Optimizing Layer 25/60 (slerp): 100%|█████████████| 4/4 [05:42<00:00, 85.51s/it]
|
184 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
185 |
+
03:46:40 - Layer 25/60 - CHANGED - -0.00006 > -0.00013 - 105.5%
|
186 |
+
----
|
187 |
+
Optimizing Layer 26/60 (slerp): 100%|█████████████| 4/4 [05:10<00:00, 77.58s/it]
|
188 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
189 |
+
03:53:21 - Layer 26/60 - CHANGED - -0.00013 > -0.00014 - 8.8%
|
190 |
+
----
|
191 |
+
Optimizing Layer 27/60 (slerp): 100%|█████████████| 4/4 [04:53<00:00, 73.48s/it]
|
192 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
193 |
+
03:59:41 - Layer 27/60 - RETAINED - -0.00014
|
194 |
+
----
|
195 |
+
Optimizing Layer 28/60 (slerp): 100%|█████████████| 4/4 [05:00<00:00, 75.07s/it]
|
196 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
197 |
+
04:06:11 - Layer 28/60 - CHANGED - -0.00014 > -0.00015 - 9.9%
|
198 |
+
----
|
199 |
+
Optimizing Layer 29/60 (slerp): 100%|█████████████| 4/4 [05:18<00:00, 79.66s/it]
|
200 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
201 |
+
04:13:06 - Layer 29/60 - CHANGED - -0.00015 > -0.00026 - 73.9%
|
202 |
+
----
|
203 |
+
Optimizing Layer 30/60 (slerp): 100%|█████████████| 4/4 [04:39<00:00, 69.97s/it]
|
204 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B']]
|
205 |
+
04:19:19 - Layer 30/60 - CHANGED - -0.00026 > -0.00026 - 0.1%
|
206 |
+
----
|
207 |
+
Optimizing Layer 31/60 (slerp): 100%|█████████████| 4/4 [05:03<00:00, 75.98s/it]
|
208 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
209 |
+
04:26:15 - Layer 31/60 - CHANGED - -0.00026 > -0.00045 - 73.2%
|
210 |
+
----
|
211 |
+
Optimizing Layer 32/60 (slerp): 100%|█████████████| 4/4 [04:50<00:00, 72.61s/it]
|
212 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
213 |
+
04:32:41 - Layer 32/60 - RETAINED - -0.00045
|
214 |
+
----
|
215 |
+
Optimizing Layer 33/60 (slerp): 100%|█████████████| 4/4 [04:42<00:00, 70.72s/it]
|
216 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
217 |
+
04:38:55 - Layer 33/60 - RETAINED - -0.00045
|
218 |
+
----
|
219 |
+
Optimizing Layer 34/60 (slerp): 100%|█████████████| 4/4 [05:10<00:00, 77.62s/it]
|
220 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
221 |
+
04:45:43 - Layer 34/60 - RETAINED - -0.00045
|
222 |
+
----
|
223 |
+
Optimizing Layer 35/60 (slerp): 100%|█████████████| 4/4 [05:18<00:00, 79.62s/it]
|
224 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
225 |
+
04:52:33 - Layer 35/60 - RETAINED - -0.00045
|
226 |
+
----
|
227 |
+
Optimizing Layer 36/60 (slerp): 100%|█████████████| 4/4 [05:31<00:00, 82.80s/it]
|
228 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
229 |
+
04:59:39 - Layer 36/60 - CHANGED - -0.00045 > -0.00058 - 27.3%
|
230 |
+
----
|
231 |
+
Optimizing Layer 37/60 (slerp): 100%|█████████████| 4/4 [05:40<00:00, 85.08s/it]
|
232 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
233 |
+
05:07:00 - Layer 37/60 - CHANGED - -0.00058 > -0.00068 - 17.0%
|
234 |
+
----
|
235 |
+
Optimizing Layer 38/60 (slerp): 100%|█████████████| 4/4 [05:09<00:00, 77.43s/it]
|
236 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
237 |
+
05:13:50 - Layer 38/60 - RETAINED - -0.00068
|
238 |
+
----
|
239 |
+
Optimizing Layer 39/60 (slerp): 100%|█████████████| 4/4 [04:52<00:00, 73.15s/it]
|
240 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
241 |
+
05:20:23 - Layer 39/60 - CHANGED - -0.00068 > -0.00094 - 38.6%
|
242 |
+
----
|
243 |
+
Optimizing Layer 40/60 (slerp): 100%|█████████████| 4/4 [05:11<00:00, 77.87s/it]
|
244 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
245 |
+
05:27:10 - Layer 40/60 - RETAINED - -0.00094
|
246 |
+
----
|
247 |
+
Optimizing Layer 41/60 (slerp): 100%|█████████████| 4/4 [04:56<00:00, 74.02s/it]
|
248 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
249 |
+
05:33:43 - Layer 41/60 - RETAINED - -0.00094
|
250 |
+
----
|
251 |
+
Optimizing Layer 42/60 (slerp): 100%|█████████████| 4/4 [05:11<00:00, 77.90s/it]
|
252 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
253 |
+
05:40:32 - Layer 42/60 - RETAINED - -0.00094
|
254 |
+
----
|
255 |
+
Optimizing Layer 43/60 (slerp): 100%|█████████████| 4/4 [05:07<00:00, 76.91s/it]
|
256 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
257 |
+
05:47:21 - Layer 43/60 - RETAINED - -0.00094
|
258 |
+
----
|
259 |
+
Optimizing Layer 44/60 (slerp): 100%|█████████████| 4/4 [05:27<00:00, 81.99s/it]
|
260 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
261 |
+
05:54:34 - Layer 44/60 - RETAINED - -0.00094
|
262 |
+
----
|
263 |
+
Optimizing Layer 45/60 (slerp): 100%|█████████████| 4/4 [05:55<00:00, 88.94s/it]
|
264 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
265 |
+
06:02:20 - Layer 45/60 - RETAINED - -0.00094
|
266 |
+
----
|
267 |
+
Optimizing Layer 46/60 (slerp): 100%|█████████████| 4/4 [05:23<00:00, 80.84s/it]
|
268 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
269 |
+
06:09:36 - Layer 46/60 - RETAINED - -0.00094
|
270 |
+
----
|
271 |
+
Optimizing Layer 47/60 (slerp): 100%|█████████████| 4/4 [05:10<00:00, 77.74s/it]
|
272 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
273 |
+
06:16:33 - Layer 47/60 - RETAINED - -0.00094
|
274 |
+
----
|
275 |
+
Optimizing Layer 48/60 (slerp): 100%|█████████████| 4/4 [04:53<00:00, 73.39s/it]
|
276 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
277 |
+
06:23:12 - Layer 48/60 - RETAINED - -0.00094
|
278 |
+
----
|
279 |
+
Optimizing Layer 49/60 (slerp): 100%|█████████████| 4/4 [05:12<00:00, 78.19s/it]
|
280 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
281 |
+
06:30:19 - Layer 49/60 - CHANGED - -0.00094 > -0.00100 - 6.8%
|
282 |
+
----
|
283 |
+
Optimizing Layer 50/60 (slerp): 100%|█████████████| 4/4 [05:16<00:00, 79.20s/it]
|
284 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B']]
|
285 |
+
06:37:19 - Layer 50/60 - CHANGED - -0.00100 > -0.00106 - 6.1%
|
286 |
+
----
|
287 |
+
Optimizing Layer 51/60 (slerp): 100%|█████████████| 4/4 [05:08<00:00, 77.05s/it]
|
288 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
289 |
+
06:44:03 - Layer 51/60 - RETAINED - -0.00106
|
290 |
+
----
|
291 |
+
Optimizing Layer 52/60 (slerp): 100%|█████████████| 4/4 [04:41<00:00, 70.42s/it]
|
292 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
293 |
+
06:50:20 - Layer 52/60 - CHANGED - -0.00106 > -0.00128 - 20.3%
|
294 |
+
----
|
295 |
+
Optimizing Layer 53/60 (slerp): 100%|█████████████| 4/4 [05:05<00:00, 76.48s/it]
|
296 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B']]
|
297 |
+
06:57:10 - Layer 53/60 - CHANGED - -0.00128 > -0.00128 - 0.2%
|
298 |
+
----
|
299 |
+
Optimizing Layer 54/60 (slerp): 100%|█████████████| 4/4 [05:37<00:00, 84.37s/it]
|
300 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
301 |
+
07:04:24 - Layer 54/60 - CHANGED - -0.00128 > -0.00132 - 3.5%
|
302 |
+
----
|
303 |
+
Optimizing Layer 55/60 (slerp): 100%|█████████████| 4/4 [06:07<00:00, 91.86s/it]
|
304 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
305 |
+
07:12:17 - Layer 55/60 - RETAINED - -0.00132
|
306 |
+
----
|
307 |
+
Optimizing Layer 56/60 (slerp): 100%|█████████████| 4/4 [05:23<00:00, 80.92s/it]
|
308 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
309 |
+
07:19:47 - Layer 56/60 - CHANGED - -0.00132 > -0.00152 - 14.7%
|
310 |
+
----
|
311 |
+
Optimizing Layer 57/60 (slerp): 100%|█████████████| 4/4 [05:58<00:00, 89.60s/it]
|
312 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
313 |
+
07:27:40 - Layer 57/60 - CHANGED - -0.00152 > -0.00171 - 12.5%
|
314 |
+
----
|
315 |
+
Optimizing Layer 58/60 (slerp): 100%|█████████████| 4/4 [06:03<00:00, 90.92s/it]
|
316 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B']]
|
317 |
+
07:35:25 - Layer 58/60 - CHANGED - -0.00171 > -0.00186 - 8.8%
|
318 |
+
----
|
319 |
+
Optimizing Layer 59/60 (slerp): 100%|█████████████| 4/4 [05:25<00:00, 81.34s/it]
|
320 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
321 |
+
07:42:28 - Layer 59/60 - RETAINED - -0.00186
|
322 |
+
----
|
323 |
+
Optimizing Layer 60/60 (slerp): 100%|█████████████| 4/4 [05:45<00:00, 86.41s/it]
|
324 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
325 |
+
07:49:59 - Layer 60/60 - RETAINED - -0.00186
|
326 |
+
----
|
327 |
+
Optimizing Header: 100%|██████████████████████████| 4/4 [06:22<00:00, 95.55s/it]
|
328 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B']]
|
329 |
+
07:57:33 - Header - CHANGED - -0.00186 > -0.00190 - 2.5%
|
330 |
+
|
331 |
+
-----------------------------------------------------------------------------------------------------
|
332 |
+
| Type | Phrase | Context | Raw Prob* | Used Prob** | Change |
|
333 |
+
-----------------------------------------------------------------------------------------------------
|
334 |
+
| BAD | anticipation | Her body quivers with | 0.00000% | 0.00% | +0.00% |
|
335 |
+
| BAD | anticipation | The atmosphere is thic.. | 0.00000% | 0.00% | +0.00% |
|
336 |
+
| BAD | unwavering | Filled with an | 0.00000% | 0.00% | +0.00% |
|
337 |
+
| BAD | determination | Her eyes were filled w.. | 0.00000% | 0.00% | -0.00% |
|
338 |
+
| BAD | determination | Her stubbornness only .. | 0.00000% | 0.00% | +0.00% |
|
339 |
+
| BAD | whisper | Her voice barely above.. | 0.00000% | 0.00% | +0.00% |
|
340 |
+
| BAD | spine | shivers down her | 0.00000% | 0.00% | -0.00% |
|
341 |
+
| BAD | sends shivers | The thrill of the act | 0.00000% | 0.00% | +0.00% |
|
342 |
+
| BAD | ministrations | She moans and twitches.. | 0.00004% | 0.00% | -0.00% |
|
343 |
+
| BAD | legs | wraps her | 0.00000% | 0.00% | -0.00% |
|
344 |
+
| BAD | imposing figure | He had an | 0.00000% | 0.00% | -0.00% |
|
345 |
+
| BAD | shared challenges | Their bond strengthene.. | 0.00001% | 0.00% | +0.00% |
|
346 |
+
| BAD | bond | forged a | 0.00007% | 0.00% | -0.00% |
|
347 |
+
| BAD | bond | an unspoken | 0.00010% | 0.00% | +0.00% |
|
348 |
+
| BAD | enhance our expe.. | I'm excited to see how | 0.00000% | 0.00% | +0.00% |
|
349 |
+
| BAD | sense of vulnera.. | create a | 0.00000% | 0.00% | -0.00% |
|
350 |
+
| BAD | dimensions of in.. | explore new | 0.00000% | 0.00% | +0.00% |
|
351 |
+
| BAD | deepening our co.. | while | 0.00000% | 0.00% | -0.00% |
|
352 |
+
| BAD | shared experiences | through | 0.00000% | 0.00% | -0.00% |
|
353 |
+
| BAD | societal expecta.. | that transcend | 0.00000% | 0.00% | -0.00% |
|
354 |
+
| BAD | conventional bou.. | that defy | 0.00000% | 0.00% | +0.00% |
|
355 |
+
| BAD | conventional bou.. | and defy | 0.00000% | 0.00% | +0.00% |
|
356 |
+
| BAD | open communication | an environment | 0.00000% | 0.00% | -0.00% |
|
357 |
+
| BAD | emotional vulner.. | an environment | 0.00000% | 0.00% | -0.00% |
|
358 |
+
| BAD | heightens our co.. | touch and the anticipa.. | 0.00000% | 0.00% | -0.00% |
|
359 |
+
| BAD | sensations you'r.. | I'm enjoying | 0.00000% | 0.00% | +0.00% |
|
360 |
+
| BAD | is truly arousing | attention to detail | 0.00000% | 0.00% | +0.00% |
|
361 |
+
| BAD | is truly arousing | way you explore my body | 0.00000% | 0.00% | +0.00% |
|
362 |
+
| BAD | challenge presen.. | my resolve unwavering .. | 0.00000% | 0.00% | +0.00% |
|
363 |
+
| BAD | humble vessel | surrendering to the ex.. | 0.00000% | 0.00% | +0.00% |
|
364 |
+
| BAD | bond | cherishing the unique | 0.00017% | 0.00% | +0.00% |
|
365 |
+
| BAD | bond | special | 0.00011% | 0.00% | -0.00% |
|
366 |
+
| BAD | grows stronger w.. | bond | 0.00000% | 0.00% | -0.00% |
|
367 |
+
| BAD | that cannot be b.. | bond | 0.00000% | 0.00% | +0.00% |
|
368 |
+
| BAD | becomes unbreaka.. | bond | 0.00000% | 0.00% | -0.00% |
|
369 |
+
| BAD | grew stronger wi.. | bond | 0.00000% | 0.00% | -0.00% |
|
370 |
+
| GOOD | The apple is in .. | Question: If I'm in th.. | 0.19188% | 0.19% | +0.19% |
|
371 |
+
------------------------------------------------------------------------------------------------------
|
372 |
+
| Totals | 0.19% | 0.20% | 0.19% |
|
373 |
+
------------------------------------------------------------------------------------------------------
|
374 |
+
* = Unweighted, raw probability - ** = Probability after weight adjustments
|
375 |
+
|
376 |
+
-------- MERGE COMPOSITION ---------
|
377 |
+
jondurbin_bagel-dpo-34b-v0.2: 0.70
|
378 |
+
NousResearch_Nous-Capybara-34B: 0.30
|
379 |
+
|
380 |
+
------------------------------------
|
381 |
+
07:59:18 - Loading model (../NousResearch_Nous-Hermes-2-Yi-34B)...
|
382 |
+
Loading checkpoint shards: 100%|████████████████| 15/15 [00:33<00:00, 2.22s/it]
|
383 |
+
08:00:31 - Model loaded. Dtype: torch.float16
|
384 |
+
------------------------------------
|
385 |
+
Optimizing Layer 1/60 (slerp): 100%|██████████████| 4/4 [03:32<00:00, 53.01s/it]
|
386 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
387 |
+
08:05:31 - Layer 1/60 - CHANGED - -0.00186 > -0.00230 - 23.5%
|
388 |
+
----
|
389 |
+
Optimizing Layer 2/60 (slerp): 100%|██████████████| 4/4 [03:40<00:00, 55.00s/it]
|
390 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
391 |
+
08:10:21 - Layer 2/60 - CHANGED - -0.00230 > -0.00266 - 15.9%
|
392 |
+
----
|
393 |
+
Optimizing Layer 3/60 (slerp): 100%|██████████████| 4/4 [04:33<00:00, 68.26s/it]
|
394 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
395 |
+
08:16:22 - Layer 3/60 - RETAINED - -0.00266
|
396 |
+
----
|
397 |
+
Optimizing Layer 4/60 (slerp): 100%|██████████████| 4/4 [05:06<00:00, 76.71s/it]
|
398 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
399 |
+
08:23:09 - Layer 4/60 - CHANGED - -0.00266 > -0.00294 - 10.5%
|
400 |
+
----
|
401 |
+
Optimizing Layer 5/60 (slerp): 100%|██████████████| 4/4 [05:47<00:00, 86.79s/it]
|
402 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
403 |
+
08:30:35 - Layer 5/60 - RETAINED - -0.00294
|
404 |
+
----
|
405 |
+
Optimizing Layer 6/60 (slerp): 100%|██████████████| 4/4 [05:25<00:00, 81.41s/it]
|
406 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
407 |
+
08:37:52 - Layer 6/60 - RETAINED - -0.00294
|
408 |
+
----
|
409 |
+
Optimizing Layer 7/60 (slerp): 100%|██████████████| 4/4 [05:44<00:00, 86.12s/it]
|
410 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
411 |
+
08:45:26 - Layer 7/60 - RETAINED - -0.00294
|
412 |
+
----
|
413 |
+
Optimizing Layer 8/60 (slerp): 100%|██████████████| 4/4 [05:36<00:00, 84.21s/it]
|
414 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
415 |
+
08:52:56 - Layer 8/60 - RETAINED - -0.00294
|
416 |
+
----
|
417 |
+
Optimizing Layer 9/60 (slerp): 100%|██████████████| 4/4 [05:51<00:00, 87.81s/it]
|
418 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.6, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
419 |
+
09:00:30 - Layer 9/60 - CHANGED - -0.00294 > -0.00297 - 1.2%
|
420 |
+
----
|
421 |
+
Optimizing Layer 10/60 (slerp): 100%|█████████████| 4/4 [06:03<00:00, 90.97s/it]
|
422 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
423 |
+
09:08:29 - Layer 10/60 - RETAINED - -0.00297
|
424 |
+
----
|
425 |
+
Optimizing Layer 11/60 (slerp): 100%|█████████████| 4/4 [05:19<00:00, 79.95s/it]
|
426 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
427 |
+
09:15:40 - Layer 11/60 - CHANGED - -0.00297 > -0.00334 - 12.2%
|
428 |
+
----
|
429 |
+
Optimizing Layer 12/60 (slerp): 100%|█████████████| 4/4 [05:47<00:00, 86.85s/it]
|
430 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
431 |
+
09:23:46 - Layer 12/60 - RETAINED - -0.00334
|
432 |
+
----
|
433 |
+
Optimizing Layer 13/60 (slerp): 100%|█████████████| 4/4 [05:05<00:00, 76.33s/it]
|
434 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B']]
|
435 |
+
09:30:37 - Layer 13/60 - RETAINED - -0.00334
|
436 |
+
----
|
437 |
+
Optimizing Layer 14/60 (slerp): 100%|█████████████| 4/4 [04:47<00:00, 71.79s/it]
|
438 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.2, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
439 |
+
09:37:17 - Layer 14/60 - CHANGED - -0.00334 > -0.00336 - 0.8%
|
440 |
+
----
|
441 |
+
Optimizing Layer 15/60 (slerp): 100%|█████████████| 4/4 [04:05<00:00, 61.32s/it]
|
442 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
443 |
+
09:42:46 - Layer 15/60 - RETAINED - -0.00336
|
444 |
+
----
|
445 |
+
Optimizing Layer 16/60 (slerp): 100%|█████████████| 4/4 [04:16<00:00, 64.24s/it]
|
446 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
447 |
+
09:48:30 - Layer 16/60 - RETAINED - -0.00336
|
448 |
+
----
|
449 |
+
Optimizing Layer 17/60 (slerp): 100%|█████████████| 4/4 [04:31<00:00, 67.78s/it]
|
450 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
451 |
+
09:54:37 - Layer 17/60 - CHANGED - -0.00336 > -0.00361 - 7.3%
|
452 |
+
----
|
453 |
+
Optimizing Layer 18/60 (slerp): 100%|█████████████| 4/4 [04:35<00:00, 68.88s/it]
|
454 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
455 |
+
10:00:44 - Layer 18/60 - RETAINED - -0.00361
|
456 |
+
----
|
457 |
+
Optimizing Layer 19/60 (slerp): 100%|█████████████| 4/4 [05:48<00:00, 87.17s/it]
|
458 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
459 |
+
10:08:21 - Layer 19/60 - RETAINED - -0.00361
|
460 |
+
----
|
461 |
+
Optimizing Layer 20/60 (slerp): 100%|█████████████| 4/4 [05:12<00:00, 78.07s/it]
|
462 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
463 |
+
10:15:11 - Layer 20/60 - RETAINED - -0.00361
|
464 |
+
----
|
465 |
+
Optimizing Layer 21/60 (slerp): 100%|█████████████| 4/4 [04:18<00:00, 64.71s/it]
|
466 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
467 |
+
10:20:54 - Layer 21/60 - CHANGED - -0.00361 > -0.00376 - 4.3%
|
468 |
+
----
|
469 |
+
Optimizing Layer 22/60 (slerp): 100%|█████████████| 4/4 [03:46<00:00, 56.73s/it]
|
470 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
471 |
+
10:26:01 - Layer 22/60 - CHANGED - -0.00376 > -0.00466 - 24.0%
|
472 |
+
----
|
473 |
+
Optimizing Layer 23/60 (slerp): 100%|█████████████| 4/4 [04:01<00:00, 60.46s/it]
|
474 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
475 |
+
10:31:21 - Layer 23/60 - CHANGED - -0.00466 > -0.00616 - 32.1%
|
476 |
+
----
|
477 |
+
Optimizing Layer 24/60 (slerp): 100%|█████████████| 4/4 [04:06<00:00, 61.57s/it]
|
478 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
479 |
+
10:36:43 - Layer 24/60 - CHANGED - -0.00616 > -0.00743 - 20.6%
|
480 |
+
----
|
481 |
+
Optimizing Layer 25/60 (slerp): 100%|█████████████| 4/4 [04:09<00:00, 62.32s/it]
|
482 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
483 |
+
10:42:19 - Layer 25/60 - RETAINED - -0.00743
|
484 |
+
----
|
485 |
+
Optimizing Layer 26/60 (slerp): 100%|█████████████| 4/4 [04:27<00:00, 66.78s/it]
|
486 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
487 |
+
10:48:17 - Layer 26/60 - CHANGED - -0.00743 > -0.00745 - 0.3%
|
488 |
+
----
|
489 |
+
Optimizing Layer 27/60 (slerp): 100%|█████████████| 4/4 [05:11<00:00, 77.78s/it]
|
490 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
491 |
+
10:55:12 - Layer 27/60 - RETAINED - -0.00745
|
492 |
+
----
|
493 |
+
Optimizing Layer 28/60 (slerp): 100%|█████████████| 4/4 [05:31<00:00, 82.92s/it]
|
494 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
495 |
+
11:02:26 - Layer 28/60 - CHANGED - -0.00745 > -0.00789 - 5.9%
|
496 |
+
----
|
497 |
+
Optimizing Layer 29/60 (slerp): 100%|█████████████| 4/4 [05:10<00:00, 77.75s/it]
|
498 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
499 |
+
11:09:12 - Layer 29/60 - CHANGED - -0.00789 > -0.00824 - 4.5%
|
500 |
+
----
|
501 |
+
Optimizing Layer 30/60 (slerp): 100%|█████████████| 4/4 [05:35<00:00, 83.82s/it]
|
502 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
503 |
+
11:16:32 - Layer 30/60 - CHANGED - -0.00824 > -0.00980 - 18.9%
|
504 |
+
----
|
505 |
+
Optimizing Layer 31/60 (slerp): 100%|█████████████| 4/4 [06:09<00:00, 92.45s/it]
|
506 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
507 |
+
11:24:35 - Layer 31/60 - CHANGED - -0.00980 > -0.01486 - 51.6%
|
508 |
+
----
|
509 |
+
Optimizing Layer 32/60 (slerp): 100%|█████████████| 4/4 [05:35<00:00, 83.93s/it]
|
510 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
511 |
+
11:32:09 - Layer 32/60 - CHANGED - -0.01486 > -0.01743 - 17.3%
|
512 |
+
----
|
513 |
+
Optimizing Layer 33/60 (slerp): 100%|█████████████| 4/4 [05:40<00:00, 85.07s/it]
|
514 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
515 |
+
11:39:27 - Layer 33/60 - RETAINED - -0.01743
|
516 |
+
----
|
517 |
+
Optimizing Layer 34/60 (slerp): 100%|█████████████| 4/4 [05:28<00:00, 82.20s/it]
|
518 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
519 |
+
11:46:40 - Layer 34/60 - CHANGED - -0.01743 > -0.02148 - 23.2%
|
520 |
+
----
|
521 |
+
Optimizing Layer 35/60 (slerp): 100%|█████████████| 4/4 [06:17<00:00, 94.36s/it]
|
522 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
523 |
+
11:54:42 - Layer 35/60 - RETAINED - -0.02148
|
524 |
+
----
|
525 |
+
Optimizing Layer 36/60 (slerp): 100%|█████████████| 4/4 [05:46<00:00, 86.54s/it]
|
526 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
527 |
+
12:02:23 - Layer 36/60 - RETAINED - -0.02148
|
528 |
+
----
|
529 |
+
Optimizing Layer 37/60 (slerp): 100%|█████████████| 4/4 [04:44<00:00, 71.19s/it]
|
530 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
531 |
+
12:08:46 - Layer 37/60 - CHANGED - -0.02148 > -0.02760 - 28.5%
|
532 |
+
----
|
533 |
+
Optimizing Layer 38/60 (slerp): 100%|█████████████| 4/4 [03:58<00:00, 59.73s/it]
|
534 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
535 |
+
12:14:11 - Layer 38/60 - CHANGED - -0.02760 > -0.02789 - 1.0%
|
536 |
+
----
|
537 |
+
Optimizing Layer 39/60 (slerp): 100%|█████████████| 4/4 [04:00<00:00, 60.16s/it]
|
538 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
539 |
+
12:19:28 - Layer 39/60 - RETAINED - -0.02789
|
540 |
+
----
|
541 |
+
Optimizing Layer 40/60 (slerp): 100%|█████████████| 4/4 [03:57<00:00, 59.45s/it]
|
542 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
543 |
+
12:24:49 - Layer 40/60 - RETAINED - -0.02789
|
544 |
+
----
|
545 |
+
Optimizing Layer 41/60 (slerp): 100%|█████████████| 4/4 [04:01<00:00, 60.34s/it]
|
546 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
547 |
+
12:30:08 - Layer 41/60 - RETAINED - -0.02789
|
548 |
+
----
|
549 |
+
Optimizing Layer 42/60 (slerp): 100%|█████████████| 4/4 [04:01<00:00, 60.29s/it]
|
550 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
551 |
+
12:35:23 - Layer 42/60 - RETAINED - -0.02789
|
552 |
+
----
|
553 |
+
Optimizing Layer 43/60 (slerp): 100%|█████████████| 4/4 [04:18<00:00, 64.70s/it]
|
554 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
555 |
+
12:41:09 - Layer 43/60 - RETAINED - -0.02789
|
556 |
+
----
|
557 |
+
Optimizing Layer 44/60 (slerp): 100%|█████████████| 4/4 [04:44<00:00, 71.20s/it]
|
558 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
559 |
+
12:47:23 - Layer 44/60 - RETAINED - -0.02789
|
560 |
+
----
|
561 |
+
Optimizing Layer 45/60 (slerp): 100%|█████████████| 4/4 [03:42<00:00, 55.71s/it]
|
562 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
563 |
+
12:52:31 - Layer 45/60 - RETAINED - -0.02789
|
564 |
+
----
|
565 |
+
Optimizing Layer 46/60 (slerp): 100%|█████████████| 4/4 [03:59<00:00, 59.77s/it]
|
566 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
567 |
+
12:57:52 - Layer 46/60 - RETAINED - -0.02789
|
568 |
+
----
|
569 |
+
Optimizing Layer 47/60 (slerp): 100%|█████████████| 4/4 [04:03<00:00, 60.98s/it]
|
570 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
571 |
+
13:03:16 - Layer 47/60 - RETAINED - -0.02789
|
572 |
+
----
|
573 |
+
Optimizing Layer 48/60 (slerp): 100%|█████████████| 4/4 [03:53<00:00, 58.40s/it]
|
574 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
575 |
+
13:08:28 - Layer 48/60 - CHANGED - -0.02789 > -0.02789 - 0.0%
|
576 |
+
----
|
577 |
+
Optimizing Layer 49/60 (slerp): 100%|█████████████| 4/4 [03:57<00:00, 59.32s/it]
|
578 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
579 |
+
13:13:43 - Layer 49/60 - CHANGED - -0.02789 > -0.02922 - 4.8%
|
580 |
+
----
|
581 |
+
Optimizing Layer 50/60 (slerp): 100%|█████████████| 4/4 [04:03<00:00, 60.93s/it]
|
582 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
583 |
+
13:19:09 - Layer 50/60 - CHANGED - -0.02922 > -0.03467 - 18.6%
|
584 |
+
----
|
585 |
+
Optimizing Layer 51/60 (slerp): 100%|█████████████| 4/4 [04:06<00:00, 61.73s/it]
|
586 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
587 |
+
13:24:39 - Layer 51/60 - RETAINED - -0.03467
|
588 |
+
----
|
589 |
+
Optimizing Layer 52/60 (slerp): 100%|█████████████| 4/4 [04:02<00:00, 60.70s/it]
|
590 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
591 |
+
13:29:58 - Layer 52/60 - CHANGED - -0.03467 > -0.03931 - 13.4%
|
592 |
+
----
|
593 |
+
Optimizing Layer 53/60 (slerp): 100%|█████████████| 4/4 [04:00<00:00, 60.06s/it]
|
594 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
595 |
+
13:35:19 - Layer 53/60 - CHANGED - -0.03931 > -0.04040 - 2.8%
|
596 |
+
----
|
597 |
+
Optimizing Layer 54/60 (slerp): 100%|█████████████| 4/4 [04:30<00:00, 67.51s/it]
|
598 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
599 |
+
13:41:14 - Layer 54/60 - CHANGED - -0.04040 > -0.04498 - 11.3%
|
600 |
+
----
|
601 |
+
Optimizing Layer 55/60 (slerp): 100%|█████████████| 4/4 [04:50<00:00, 72.65s/it]
|
602 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
603 |
+
13:47:49 - Layer 55/60 - CHANGED - -0.04498 > -0.04736 - 5.3%
|
604 |
+
----
|
605 |
+
Optimizing Layer 56/60 (slerp): 100%|█████████████| 4/4 [05:28<00:00, 82.16s/it]
|
606 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
607 |
+
13:55:09 - Layer 56/60 - RETAINED - -0.04736
|
608 |
+
----
|
609 |
+
Optimizing Layer 57/60 (slerp): 100%|█████████████| 4/4 [05:30<00:00, 82.57s/it]
|
610 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
611 |
+
14:02:30 - Layer 57/60 - RETAINED - -0.04736
|
612 |
+
----
|
613 |
+
Optimizing Layer 58/60 (slerp): 100%|█████████████| 4/4 [06:22<00:00, 95.56s/it]
|
614 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B']]
|
615 |
+
14:11:07 - Layer 58/60 - RETAINED - -0.04736
|
616 |
+
----
|
617 |
+
Optimizing Layer 59/60 (slerp): 100%|█████████████| 4/4 [05:52<00:00, 88.03s/it]
|
618 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
619 |
+
14:19:17 - Layer 59/60 - CHANGED - -0.04736 > -0.05244 - 10.7%
|
620 |
+
----
|
621 |
+
Optimizing Layer 60/60 (slerp): 100%|█████████████| 4/4 [04:47<00:00, 71.86s/it]
|
622 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
623 |
+
14:25:42 - Layer 60/60 - RETAINED - -0.05244
|
624 |
+
----
|
625 |
+
Optimizing Header: 100%|██████████████████████████| 4/4 [03:37<00:00, 54.33s/it]
|
626 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
627 |
+
14:30:24 - Header - CHANGED - -0.05244 > -0.06200 - 18.2%
|
628 |
+
|
629 |
+
-----------------------------------------------------------------------------------------------------
|
630 |
+
| Type | Phrase | Context | Raw Prob* | Used Prob** | Change |
|
631 |
+
-----------------------------------------------------------------------------------------------------
|
632 |
+
| BAD | anticipation | Her body quivers with | 0.00000% | 0.00% | +0.00% |
|
633 |
+
| BAD | anticipation | The atmosphere is thic.. | 0.00000% | 0.00% | +0.00% |
|
634 |
+
| BAD | unwavering | Filled with an | 0.00000% | 0.00% | +0.00% |
|
635 |
+
| BAD | determination | Her eyes were filled w.. | 0.00000% | 0.00% | -0.00% |
|
636 |
+
| BAD | determination | Her stubbornness only .. | 0.00000% | 0.00% | +0.00% |
|
637 |
+
| BAD | whisper | Her voice barely above.. | 0.00000% | 0.00% | +0.00% |
|
638 |
+
| BAD | spine | shivers down her | 0.00000% | 0.00% | +0.00% |
|
639 |
+
| BAD | sends shivers | The thrill of the act | 0.00000% | 0.00% | +0.00% |
|
640 |
+
| BAD | ministrations | She moans and twitches.. | 0.00003% | 0.00% | -0.00% |
|
641 |
+
| BAD | legs | wraps her | 0.00000% | 0.00% | -0.00% |
|
642 |
+
| BAD | imposing figure | He had an | 0.00000% | 0.00% | -0.00% |
|
643 |
+
| BAD | shared challenges | Their bond strengthene.. | 0.00001% | 0.00% | +0.00% |
|
644 |
+
| BAD | bond | forged a | 0.00004% | 0.00% | -0.00% |
|
645 |
+
| BAD | bond | an unspoken | 0.00010% | 0.00% | +0.00% |
|
646 |
+
| BAD | enhance our expe.. | I'm excited to see how | 0.00000% | 0.00% | +0.00% |
|
647 |
+
| BAD | sense of vulnera.. | create a | 0.00000% | 0.00% | -0.00% |
|
648 |
+
| BAD | dimensions of in.. | explore new | 0.00000% | 0.00% | +0.00% |
|
649 |
+
| BAD | deepening our co.. | while | 0.00000% | 0.00% | -0.00% |
|
650 |
+
| BAD | shared experiences | through | 0.00001% | 0.00% | +0.00% |
|
651 |
+
| BAD | societal expecta.. | that transcend | 0.00000% | 0.00% | -0.00% |
|
652 |
+
| BAD | conventional bou.. | that defy | 0.00000% | 0.00% | +0.00% |
|
653 |
+
| BAD | conventional bou.. | and defy | 0.00000% | 0.00% | +0.00% |
|
654 |
+
| BAD | open communication | an environment | 0.00000% | 0.00% | +0.00% |
|
655 |
+
| BAD | emotional vulner.. | an environment | 0.00000% | 0.00% | +0.00% |
|
656 |
+
| BAD | heightens our co.. | touch and the anticipa.. | 0.00000% | 0.00% | -0.00% |
|
657 |
+
| BAD | sensations you'r.. | I'm enjoying | 0.00000% | 0.00% | +0.00% |
|
658 |
+
| BAD | is truly arousing | attention to detail | 0.00000% | 0.00% | +0.00% |
|
659 |
+
| BAD | is truly arousing | way you explore my body | 0.00000% | 0.00% | -0.00% |
|
660 |
+
| BAD | challenge presen.. | my resolve unwavering .. | 0.00000% | 0.00% | +0.00% |
|
661 |
+
| BAD | humble vessel | surrendering to the ex.. | 0.00000% | 0.00% | +0.00% |
|
662 |
+
| BAD | bond | cherishing the unique | 0.00019% | 0.00% | +0.00% |
|
663 |
+
| BAD | bond | special | 0.00023% | 0.00% | -0.00% |
|
664 |
+
| BAD | grows stronger w.. | bond | 0.00000% | 0.00% | -0.00% |
|
665 |
+
| BAD | that cannot be b.. | bond | 0.00000% | 0.00% | -0.00% |
|
666 |
+
| BAD | becomes unbreaka.. | bond | 0.00000% | 0.00% | +0.00% |
|
667 |
+
| BAD | grew stronger wi.. | bond | 0.00000% | 0.00% | +0.00% |
|
668 |
+
| GOOD | The apple is in .. | Question: If I'm in th.. | 6.12871% | 6.13% | +6.13% |
|
669 |
+
------------------------------------------------------------------------------------------------------
|
670 |
+
| Totals | 6.13% | 6.14% | 6.13% |
|
671 |
+
------------------------------------------------------------------------------------------------------
|
672 |
+
* = Unweighted, raw probability - ** = Probability after weight adjustments
|
673 |
+
|
674 |
+
-------- MERGE COMPOSITION ---------
|
675 |
+
jondurbin_bagel-dpo-34b-v0.2: 0.51
|
676 |
+
NousResearch_Nous-Hermes-2-Yi-34B: 0.32
|
677 |
+
NousResearch_Nous-Capybara-34B: 0.16
|
678 |
+
|
679 |
+
------------------------------------
|
680 |
+
14:31:32 - Loading model (../SUSTech_SUS-Chat-34B)...
|
681 |
+
Loading checkpoint shards: 100%|██████████████████| 7/7 [01:14<00:00, 10.68s/it]
|
682 |
+
14:33:15 - Model loaded. Dtype: torch.float16
|
683 |
+
------------------------------------
|
684 |
+
Optimizing Layer 1/60 (slerp): 100%|██████████████| 4/4 [02:55<00:00, 43.98s/it]
|
685 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.2, 'SUSTech_SUS-Chat-34B']]
|
686 |
+
14:37:13 - Layer 1/60 - CHANGED - -0.06121 > -0.06153 - 0.5%
|
687 |
+
----
|
688 |
+
Optimizing Layer 2/60 (slerp): 100%|██████████████| 4/4 [02:57<00:00, 44.28s/it]
|
689 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.6, 'SUSTech_SUS-Chat-34B']]
|
690 |
+
14:41:08 - Layer 2/60 - CHANGED - -0.06153 > -0.06434 - 4.6%
|
691 |
+
----
|
692 |
+
Optimizing Layer 3/60 (slerp): 100%|██████████████| 4/4 [02:59<00:00, 44.87s/it]
|
693 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
694 |
+
14:45:04 - Layer 3/60 - RETAINED - -0.06434
|
695 |
+
----
|
696 |
+
Optimizing Layer 4/60 (slerp): 100%|██████████████| 4/4 [03:24<00:00, 51.23s/it]
|
697 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
698 |
+
14:49:33 - Layer 4/60 - RETAINED - -0.06434
|
699 |
+
----
|
700 |
+
Optimizing Layer 5/60 (slerp): 100%|██████████████| 4/4 [04:13<00:00, 63.44s/it]
|
701 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
702 |
+
14:55:17 - Layer 5/60 - RETAINED - -0.06434
|
703 |
+
----
|
704 |
+
Optimizing Layer 6/60 (slerp): 100%|██████████████| 4/4 [05:08<00:00, 77.18s/it]
|
705 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
706 |
+
15:01:58 - Layer 6/60 - RETAINED - -0.06434
|
707 |
+
----
|
708 |
+
Optimizing Layer 7/60 (slerp): 100%|██████████████| 4/4 [04:41<00:00, 70.31s/it]
|
709 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
710 |
+
15:08:01 - Layer 7/60 - RETAINED - -0.06434
|
711 |
+
----
|
712 |
+
Optimizing Layer 8/60 (slerp): 100%|██████████████| 4/4 [03:51<00:00, 57.86s/it]
|
713 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
714 |
+
15:13:10 - Layer 8/60 - RETAINED - -0.06434
|
715 |
+
----
|
716 |
+
Optimizing Layer 9/60 (slerp): 100%|██████████████| 4/4 [04:02<00:00, 60.54s/it]
|
717 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.6, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.4, 'SUSTech_SUS-Chat-34B']]
|
718 |
+
15:18:34 - Layer 9/60 - CHANGED - -0.06434 > -0.06464 - 0.5%
|
719 |
+
----
|
720 |
+
Optimizing Layer 10/60 (slerp): 100%|█████████████| 4/4 [03:53<00:00, 58.40s/it]
|
721 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
722 |
+
15:23:40 - Layer 10/60 - RETAINED - -0.06464
|
723 |
+
----
|
724 |
+
Optimizing Layer 11/60 (slerp): 100%|█████████████| 4/4 [03:39<00:00, 54.91s/it]
|
725 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
726 |
+
15:28:32 - Layer 11/60 - RETAINED - -0.06464
|
727 |
+
----
|
728 |
+
Optimizing Layer 12/60 (slerp): 100%|█████████████| 4/4 [03:40<00:00, 55.10s/it]
|
729 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
730 |
+
15:33:27 - Layer 12/60 - RETAINED - -0.06464
|
731 |
+
----
|
732 |
+
Optimizing Layer 13/60 (slerp): 100%|█████████████| 4/4 [03:49<00:00, 57.36s/it]
|
733 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.4, 'SUSTech_SUS-Chat-34B']]
|
734 |
+
15:38:35 - Layer 13/60 - CHANGED - -0.06464 > -0.06527 - 1.0%
|
735 |
+
----
|
736 |
+
Optimizing Layer 14/60 (slerp): 100%|█████████████| 4/4 [03:42<00:00, 55.74s/it]
|
737 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.2, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.6, 'SUSTech_SUS-Chat-34B']]
|
738 |
+
15:43:30 - Layer 14/60 - CHANGED - -0.06527 > -0.06851 - 5.0%
|
739 |
+
----
|
740 |
+
Optimizing Layer 15/60 (slerp): 100%|█████████████| 4/4 [03:44<00:00, 56.04s/it]
|
741 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
742 |
+
15:48:41 - Layer 15/60 - RETAINED - -0.06851
|
743 |
+
----
|
744 |
+
Optimizing Layer 16/60 (slerp): 100%|█████████████| 4/4 [05:23<00:00, 80.84s/it]
|
745 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
746 |
+
15:55:48 - Layer 16/60 - RETAINED - -0.06851
|
747 |
+
----
|
748 |
+
Optimizing Layer 17/60 (slerp): 100%|█████████████| 4/4 [05:31<00:00, 82.76s/it]
|
749 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
750 |
+
16:03:01 - Layer 17/60 - RETAINED - -0.06851
|
751 |
+
----
|
752 |
+
Optimizing Layer 18/60 (slerp): 100%|█████████████| 4/4 [05:34<00:00, 83.64s/it]
|
753 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
754 |
+
16:10:28 - Layer 18/60 - RETAINED - -0.06851
|
755 |
+
----
|
756 |
+
Optimizing Layer 19/60 (slerp): 100%|█████████████| 4/4 [06:17<00:00, 94.38s/it]
|
757 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
758 |
+
16:18:46 - Layer 19/60 - RETAINED - -0.06851
|
759 |
+
----
|
760 |
+
Optimizing Layer 20/60 (slerp): 100%|█████████████| 4/4 [04:52<00:00, 73.08s/it]
|
761 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.4, 'SUSTech_SUS-Chat-34B']]
|
762 |
+
16:25:26 - Layer 20/60 - CHANGED - -0.06851 > -0.06892 - 0.6%
|
763 |
+
----
|
764 |
+
Optimizing Layer 21/60 (slerp): 100%|█████████████| 4/4 [05:08<00:00, 77.11s/it]
|
765 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
766 |
+
16:32:37 - Layer 21/60 - RETAINED - -0.06892
|
767 |
+
----
|
768 |
+
Optimizing Layer 22/60 (slerp): 100%|█████████████| 4/4 [04:54<00:00, 73.54s/it]
|
769 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
770 |
+
16:39:05 - Layer 22/60 - RETAINED - -0.06892
|
771 |
+
----
|
772 |
+
Optimizing Layer 23/60 (slerp): 100%|█████████████| 4/4 [04:53<00:00, 73.34s/it]
|
773 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
774 |
+
16:45:29 - Layer 23/60 - RETAINED - -0.06892
|
775 |
+
----
|
776 |
+
Optimizing Layer 24/60 (slerp): 100%|█████████████| 4/4 [04:53<00:00, 73.38s/it]
|
777 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
778 |
+
16:51:58 - Layer 24/60 - RETAINED - -0.06892
|
779 |
+
----
|
780 |
+
Optimizing Layer 25/60 (slerp): 100%|█████████████| 4/4 [04:55<00:00, 73.86s/it]
|
781 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.4, 'SUSTech_SUS-Chat-34B']]
|
782 |
+
16:58:30 - Layer 25/60 - CHANGED - -0.06892 > -0.07074 - 2.6%
|
783 |
+
----
|
784 |
+
Optimizing Layer 26/60 (slerp): 100%|█████████████| 4/4 [04:11<00:00, 62.83s/it]
|
785 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
786 |
+
17:04:08 - Layer 26/60 - RETAINED - -0.07074
|
787 |
+
----
|
788 |
+
Optimizing Layer 27/60 (slerp): 100%|█████████████| 4/4 [04:11<00:00, 62.75s/it]
|
789 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
790 |
+
17:09:50 - Layer 27/60 - RETAINED - -0.07074
|
791 |
+
----
|
792 |
+
Optimizing Layer 28/60 (slerp): 100%|█████████████| 4/4 [04:05<00:00, 61.40s/it]
|
793 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
794 |
+
17:15:21 - Layer 28/60 - RETAINED - -0.07074
|
795 |
+
----
|
796 |
+
Optimizing Layer 29/60 (slerp): 100%|█████████████| 4/4 [05:07<00:00, 76.83s/it]
|
797 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
798 |
+
17:21:57 - Layer 29/60 - RETAINED - -0.07074
|
799 |
+
----
|
800 |
+
Optimizing Layer 30/60 (slerp): 100%|█████████████| 4/4 [04:06<00:00, 61.63s/it]
|
801 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
802 |
+
17:27:34 - Layer 30/60 - RETAINED - -0.07074
|
803 |
+
----
|
804 |
+
Optimizing Layer 31/60 (slerp): 100%|█████████████| 4/4 [04:21<00:00, 65.25s/it]
|
805 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
806 |
+
17:33:24 - Layer 31/60 - RETAINED - -0.07074
|
807 |
+
----
|
808 |
+
Optimizing Layer 32/60 (slerp): 100%|█████████████| 4/4 [04:36<00:00, 69.13s/it]
|
809 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
810 |
+
17:39:20 - Layer 32/60 - RETAINED - -0.07074
|
811 |
+
----
|
812 |
+
Optimizing Layer 33/60 (slerp): 100%|█████████████| 4/4 [04:52<00:00, 73.01s/it]
|
813 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
814 |
+
17:45:42 - Layer 33/60 - RETAINED - -0.07074
|
815 |
+
----
|
816 |
+
Optimizing Layer 34/60 (slerp): 100%|█████████████| 4/4 [05:09<00:00, 77.30s/it]
|
817 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
818 |
+
17:52:34 - Layer 34/60 - RETAINED - -0.07074
|
819 |
+
----
|
820 |
+
Optimizing Layer 35/60 (slerp): 100%|█████████████| 4/4 [05:09<00:00, 77.29s/it]
|
821 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
822 |
+
17:59:16 - Layer 35/60 - RETAINED - -0.07074
|
823 |
+
----
|
824 |
+
Optimizing Layer 36/60 (slerp): 100%|█████████████| 4/4 [05:19<00:00, 79.91s/it]
|
825 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
826 |
+
18:06:13 - Layer 36/60 - RETAINED - -0.07074
|
827 |
+
----
|
828 |
+
Optimizing Layer 37/60 (slerp): 100%|█████████████| 4/4 [05:40<00:00, 85.08s/it]
|
829 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.8, 'SUSTech_SUS-Chat-34B']]
|
830 |
+
18:13:35 - Layer 37/60 - CHANGED - -0.07074 > -0.07127 - 0.8%
|
831 |
+
----
|
832 |
+
Optimizing Layer 38/60 (slerp): 100%|█████████████| 4/4 [04:50<00:00, 72.69s/it]
|
833 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
834 |
+
18:20:03 - Layer 38/60 - RETAINED - -0.07127
|
835 |
+
----
|
836 |
+
Optimizing Layer 39/60 (slerp): 100%|█████████████| 4/4 [05:23<00:00, 80.96s/it]
|
837 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
838 |
+
18:26:55 - Layer 39/60 - RETAINED - -0.07127
|
839 |
+
----
|
840 |
+
Optimizing Layer 40/60 (slerp): 100%|█████████████| 4/4 [04:10<00:00, 62.57s/it]
|
841 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
842 |
+
18:32:47 - Layer 40/60 - RETAINED - -0.07127
|
843 |
+
----
|
844 |
+
Optimizing Layer 41/60 (slerp): 100%|█████████████| 4/4 [05:23<00:00, 80.96s/it]
|
845 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
846 |
+
18:39:44 - Layer 41/60 - RETAINED - -0.07127
|
847 |
+
----
|
848 |
+
Optimizing Layer 42/60 (slerp): 100%|█████████████| 4/4 [04:03<00:00, 60.87s/it]
|
849 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
850 |
+
18:45:31 - Layer 42/60 - RETAINED - -0.07127
|
851 |
+
----
|
852 |
+
Optimizing Layer 43/60 (slerp): 100%|█████████████| 4/4 [03:36<00:00, 54.22s/it]
|
853 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
854 |
+
18:50:34 - Layer 43/60 - RETAINED - -0.07127
|
855 |
+
----
|
856 |
+
Optimizing Layer 44/60 (slerp): 100%|█████████████| 4/4 [03:52<00:00, 58.18s/it]
|
857 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
858 |
+
18:55:44 - Layer 44/60 - RETAINED - -0.07127
|
859 |
+
----
|
860 |
+
Optimizing Layer 45/60 (slerp): 100%|█████████████| 4/4 [03:39<00:00, 54.92s/it]
|
861 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
862 |
+
19:00:39 - Layer 45/60 - RETAINED - -0.07127
|
863 |
+
----
|
864 |
+
Optimizing Layer 46/60 (slerp): 100%|█████████████| 4/4 [03:36<00:00, 54.06s/it]
|
865 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
866 |
+
19:05:24 - Layer 46/60 - RETAINED - -0.07127
|
867 |
+
----
|
868 |
+
Optimizing Layer 47/60 (slerp): 100%|█████████████| 4/4 [03:50<00:00, 57.54s/it]
|
869 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
870 |
+
19:10:28 - Layer 47/60 - RETAINED - -0.07127
|
871 |
+
----
|
872 |
+
Optimizing Layer 48/60 (slerp): 100%|█████████████| 4/4 [04:02<00:00, 60.62s/it]
|
873 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
874 |
+
19:15:45 - Layer 48/60 - RETAINED - -0.07127
|
875 |
+
----
|
876 |
+
Optimizing Layer 49/60 (slerp): 100%|█████████████| 4/4 [03:59<00:00, 59.77s/it]
|
877 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.6, 'SUSTech_SUS-Chat-34B']]
|
878 |
+
19:21:02 - Layer 49/60 - CHANGED - -0.07127 > -0.07407 - 3.9%
|
879 |
+
----
|
880 |
+
Optimizing Layer 50/60 (slerp): 100%|█████████████| 4/4 [03:53<00:00, 58.25s/it]
|
881 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.4, 'SUSTech_SUS-Chat-34B']]
|
882 |
+
19:26:11 - Layer 50/60 - CHANGED - -0.07407 > -0.07571 - 2.2%
|
883 |
+
----
|
884 |
+
Optimizing Layer 51/60 (slerp): 100%|█████████████| 4/4 [03:59<00:00, 59.91s/it]
|
885 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
886 |
+
19:31:30 - Layer 51/60 - RETAINED - -0.07571
|
887 |
+
----
|
888 |
+
Optimizing Layer 52/60 (slerp): 100%|█████████████| 4/4 [04:43<00:00, 70.77s/it]
|
889 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.6, 'SUSTech_SUS-Chat-34B']]
|
890 |
+
19:37:38 - Layer 52/60 - CHANGED - -0.07571 > -0.07660 - 1.2%
|
891 |
+
----
|
892 |
+
Optimizing Layer 53/60 (slerp): 100%|█████████████| 4/4 [04:26<00:00, 66.68s/it]
|
893 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.2, 'NousResearch_Nous-Capybara-34B'], [0.4, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.8, 'SUSTech_SUS-Chat-34B']]
|
894 |
+
19:43:27 - Layer 53/60 - CHANGED - -0.07660 > -0.07717 - 0.8%
|
895 |
+
----
|
896 |
+
Optimizing Layer 54/60 (slerp): 100%|█████████████| 4/4 [04:49<00:00, 72.34s/it]
|
897 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.4, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.8, 'SUSTech_SUS-Chat-34B']]
|
898 |
+
19:50:18 - Layer 54/60 - CHANGED - -0.07717 > -0.07775 - 0.7%
|
899 |
+
----
|
900 |
+
Optimizing Layer 55/60 (slerp): 100%|█████████████| 4/4 [04:12<00:00, 63.01s/it]
|
901 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.8, 'SUSTech_SUS-Chat-34B']]
|
902 |
+
19:56:01 - Layer 55/60 - CHANGED - -0.07775 > -0.07923 - 1.9%
|
903 |
+
----
|
904 |
+
Optimizing Layer 56/60 (slerp): 100%|█████████████| 4/4 [03:56<00:00, 59.03s/it]
|
905 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
906 |
+
20:01:25 - Layer 56/60 - RETAINED - -0.07923
|
907 |
+
----
|
908 |
+
Optimizing Layer 57/60 (slerp): 100%|█████████████| 4/4 [04:07<00:00, 61.99s/it]
|
909 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Capybara-34B']]
|
910 |
+
20:06:54 - Layer 57/60 - RETAINED - -0.07923
|
911 |
+
----
|
912 |
+
Optimizing Layer 58/60 (slerp): 100%|█████████████| 4/4 [03:55<00:00, 58.84s/it]
|
913 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B']]
|
914 |
+
20:12:09 - Layer 58/60 - RETAINED - -0.07923
|
915 |
+
----
|
916 |
+
Optimizing Layer 59/60 (slerp): 100%|█████████████| 4/4 [03:27<00:00, 51.80s/it]
|
917 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B']]
|
918 |
+
20:16:49 - Layer 59/60 - RETAINED - -0.07923
|
919 |
+
----
|
920 |
+
Optimizing Layer 60/60 (slerp): 100%|█████████████| 4/4 [04:01<00:00, 60.29s/it]
|
921 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2']]
|
922 |
+
20:22:08 - Layer 60/60 - RETAINED - -0.07923
|
923 |
+
----
|
924 |
+
Optimizing Header: 100%|█████��████████████████████| 4/4 [03:49<00:00, 57.30s/it]
|
925 |
+
[[1.0, 'jondurbin_bagel-dpo-34b-v0.2'], [0.6, 'NousResearch_Nous-Capybara-34B'], [0.8, 'NousResearch_Nous-Hermes-2-Yi-34B'], [0.6, 'SUSTech_SUS-Chat-34B']]
|
926 |
+
20:26:56 - Header - CHANGED - -0.07923 > -0.07981 - 0.7%
|
927 |
+
|
928 |
+
-----------------------------------------------------------------------------------------------------
|
929 |
+
| Type | Phrase | Context | Raw Prob* | Used Prob** | Change |
|
930 |
+
-----------------------------------------------------------------------------------------------------
|
931 |
+
| BAD | anticipation | Her body quivers with | 0.00000% | 0.00% | +0.00% |
|
932 |
+
| BAD | anticipation | The atmosphere is thic.. | 0.00000% | 0.00% | +0.00% |
|
933 |
+
| BAD | unwavering | Filled with an | 0.00000% | 0.00% | +0.00% |
|
934 |
+
| BAD | determination | Her eyes were filled w.. | 0.00000% | 0.00% | -0.00% |
|
935 |
+
| BAD | determination | Her stubbornness only .. | 0.00000% | 0.00% | +0.00% |
|
936 |
+
| BAD | whisper | Her voice barely above.. | 0.00000% | 0.00% | +0.00% |
|
937 |
+
| BAD | spine | shivers down her | 0.00000% | 0.00% | +0.00% |
|
938 |
+
| BAD | sends shivers | The thrill of the act | 0.00000% | 0.00% | +0.00% |
|
939 |
+
| BAD | ministrations | She moans and twitches.. | 0.00004% | 0.00% | -0.00% |
|
940 |
+
| BAD | legs | wraps her | 0.00000% | 0.00% | -0.00% |
|
941 |
+
| BAD | imposing figure | He had an | 0.00000% | 0.00% | -0.00% |
|
942 |
+
| BAD | shared challenges | Their bond strengthene.. | 0.00001% | 0.00% | +0.00% |
|
943 |
+
| BAD | bond | forged a | 0.00005% | 0.00% | -0.00% |
|
944 |
+
| BAD | bond | an unspoken | 0.00010% | 0.00% | +0.00% |
|
945 |
+
| BAD | enhance our expe.. | I'm excited to see how | 0.00000% | 0.00% | +0.00% |
|
946 |
+
| BAD | sense of vulnera.. | create a | 0.00000% | 0.00% | -0.00% |
|
947 |
+
| BAD | dimensions of in.. | explore new | 0.00000% | 0.00% | +0.00% |
|
948 |
+
| BAD | deepening our co.. | while | 0.00000% | 0.00% | -0.00% |
|
949 |
+
| BAD | shared experiences | through | 0.00001% | 0.00% | +0.00% |
|
950 |
+
| BAD | societal expecta.. | that transcend | 0.00000% | 0.00% | -0.00% |
|
951 |
+
| BAD | conventional bou.. | that defy | 0.00000% | 0.00% | +0.00% |
|
952 |
+
| BAD | conventional bou.. | and defy | 0.00000% | 0.00% | +0.00% |
|
953 |
+
| BAD | open communication | an environment | 0.00000% | 0.00% | +0.00% |
|
954 |
+
| BAD | emotional vulner.. | an environment | 0.00000% | 0.00% | +0.00% |
|
955 |
+
| BAD | heightens our co.. | touch and the anticipa.. | 0.00000% | 0.00% | -0.00% |
|
956 |
+
| BAD | sensations you'r.. | I'm enjoying | 0.00000% | 0.00% | +0.00% |
|
957 |
+
| BAD | is truly arousing | attention to detail | 0.00000% | 0.00% | +0.00% |
|
958 |
+
| BAD | is truly arousing | way you explore my body | 0.00000% | 0.00% | +0.00% |
|
959 |
+
| BAD | challenge presen.. | my resolve unwavering .. | 0.00000% | 0.00% | +0.00% |
|
960 |
+
| BAD | humble vessel | surrendering to the ex.. | 0.00000% | 0.00% | +0.00% |
|
961 |
+
| BAD | bond | cherishing the unique | 0.00019% | 0.00% | +0.00% |
|
962 |
+
| BAD | bond | special | 0.00014% | 0.00% | -0.00% |
|
963 |
+
| BAD | grows stronger w.. | bond | 0.00000% | 0.00% | -0.00% |
|
964 |
+
| BAD | that cannot be b.. | bond | 0.00000% | 0.00% | -0.00% |
|
965 |
+
| BAD | becomes unbreaka.. | bond | 0.00000% | 0.00% | +0.00% |
|
966 |
+
| BAD | grew stronger wi.. | bond | 0.00000% | 0.00% | +0.00% |
|
967 |
+
| GOOD | The apple is in .. | Question: If I'm in th.. | 7.81435% | 7.81% | +7.81% |
|
968 |
+
------------------------------------------------------------------------------------------------------
|
969 |
+
| Totals | 7.81% | 7.82% | 7.81% |
|
970 |
+
------------------------------------------------------------------------------------------------------
|
971 |
+
* = Unweighted, raw probability - ** = Probability after weight adjustments
|
972 |
+
|
973 |
+
-------- MERGE COMPOSITION ---------
|
974 |
+
jondurbin_bagel-dpo-34b-v0.2: 0.49
|
975 |
+
NousResearch_Nous-Hermes-2-Yi-34B: 0.24
|
976 |
+
SUSTech_SUS-Chat-34B: 0.14
|
977 |
+
NousResearch_Nous-Capybara-34B: 0.13
|
978 |
+
|
979 |
+
20:28:04 - Saving model to ./mm-output...
|
980 |
+
20:28:48 - Copying tokenizer files to ./mm-output...
|
981 |
+
Skipped added_tokens.json (not found)
|
982 |
+
Copied tokenizer.model
|
983 |
+
Copied special_tokens_map.json
|
984 |
+
Copied tokenizer_config.json
|
985 |
+
Skipped vocab.json (not found)
|
986 |
+
Skipped merges.txt (not found)
|
987 |
+
20:28:48 - Model and tokenizer files saved successfully.
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,550 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 68777834496
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00015-of-00015.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00015.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
242 |
+
"model.layers.32.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
243 |
+
"model.layers.32.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
244 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
245 |
+
"model.layers.32.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
246 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
247 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
248 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
249 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
250 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
251 |
+
"model.layers.33.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
252 |
+
"model.layers.33.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
253 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
254 |
+
"model.layers.33.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
255 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
256 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
257 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
258 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
259 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
260 |
+
"model.layers.34.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
261 |
+
"model.layers.34.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
262 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
263 |
+
"model.layers.34.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
264 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
265 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
266 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
267 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
268 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
269 |
+
"model.layers.35.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
270 |
+
"model.layers.35.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
271 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
272 |
+
"model.layers.35.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
273 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
274 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
275 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
276 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
277 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
278 |
+
"model.layers.36.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
279 |
+
"model.layers.36.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
280 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
281 |
+
"model.layers.36.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
282 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
283 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
284 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
285 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
286 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
287 |
+
"model.layers.37.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
288 |
+
"model.layers.37.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
289 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
290 |
+
"model.layers.37.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
291 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
292 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
293 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
294 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
295 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
296 |
+
"model.layers.38.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
297 |
+
"model.layers.38.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
298 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
299 |
+
"model.layers.38.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
300 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
301 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
302 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
303 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
304 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
305 |
+
"model.layers.39.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
306 |
+
"model.layers.39.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
307 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
308 |
+
"model.layers.39.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
309 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
310 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
311 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
312 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
313 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
314 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
315 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
316 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
317 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
318 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
319 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
320 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
321 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
322 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
323 |
+
"model.layers.40.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
324 |
+
"model.layers.40.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
325 |
+
"model.layers.40.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
326 |
+
"model.layers.40.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
327 |
+
"model.layers.40.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
328 |
+
"model.layers.40.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
329 |
+
"model.layers.40.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
330 |
+
"model.layers.40.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
331 |
+
"model.layers.40.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
332 |
+
"model.layers.41.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
333 |
+
"model.layers.41.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
334 |
+
"model.layers.41.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
335 |
+
"model.layers.41.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
336 |
+
"model.layers.41.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
337 |
+
"model.layers.41.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
338 |
+
"model.layers.41.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
339 |
+
"model.layers.41.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
340 |
+
"model.layers.41.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
341 |
+
"model.layers.42.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
342 |
+
"model.layers.42.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
343 |
+
"model.layers.42.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
344 |
+
"model.layers.42.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
345 |
+
"model.layers.42.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
346 |
+
"model.layers.42.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
347 |
+
"model.layers.42.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
348 |
+
"model.layers.42.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
349 |
+
"model.layers.42.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
350 |
+
"model.layers.43.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
351 |
+
"model.layers.43.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
352 |
+
"model.layers.43.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
353 |
+
"model.layers.43.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
354 |
+
"model.layers.43.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
355 |
+
"model.layers.43.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
356 |
+
"model.layers.43.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
357 |
+
"model.layers.43.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
358 |
+
"model.layers.43.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
359 |
+
"model.layers.44.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
360 |
+
"model.layers.44.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
361 |
+
"model.layers.44.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
362 |
+
"model.layers.44.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
363 |
+
"model.layers.44.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
364 |
+
"model.layers.44.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
365 |
+
"model.layers.44.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
366 |
+
"model.layers.44.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
367 |
+
"model.layers.44.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
368 |
+
"model.layers.45.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
369 |
+
"model.layers.45.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
370 |
+
"model.layers.45.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
371 |
+
"model.layers.45.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
372 |
+
"model.layers.45.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
373 |
+
"model.layers.45.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
374 |
+
"model.layers.45.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
375 |
+
"model.layers.45.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
376 |
+
"model.layers.45.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
377 |
+
"model.layers.46.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
378 |
+
"model.layers.46.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
379 |
+
"model.layers.46.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
380 |
+
"model.layers.46.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
381 |
+
"model.layers.46.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
382 |
+
"model.layers.46.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
383 |
+
"model.layers.46.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
384 |
+
"model.layers.46.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
385 |
+
"model.layers.46.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
386 |
+
"model.layers.47.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
387 |
+
"model.layers.47.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
388 |
+
"model.layers.47.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
389 |
+
"model.layers.47.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
390 |
+
"model.layers.47.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
391 |
+
"model.layers.47.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
392 |
+
"model.layers.47.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
393 |
+
"model.layers.47.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
394 |
+
"model.layers.47.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
395 |
+
"model.layers.48.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
396 |
+
"model.layers.48.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
397 |
+
"model.layers.48.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
398 |
+
"model.layers.48.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
399 |
+
"model.layers.48.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
400 |
+
"model.layers.48.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
401 |
+
"model.layers.48.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
402 |
+
"model.layers.48.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
403 |
+
"model.layers.48.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
404 |
+
"model.layers.49.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
405 |
+
"model.layers.49.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
406 |
+
"model.layers.49.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
407 |
+
"model.layers.49.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
408 |
+
"model.layers.49.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
409 |
+
"model.layers.49.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
410 |
+
"model.layers.49.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
411 |
+
"model.layers.49.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
412 |
+
"model.layers.49.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
413 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
414 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
415 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
416 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
417 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
418 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
419 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
420 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
421 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
422 |
+
"model.layers.50.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
423 |
+
"model.layers.50.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
424 |
+
"model.layers.50.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
425 |
+
"model.layers.50.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
426 |
+
"model.layers.50.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
427 |
+
"model.layers.50.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
428 |
+
"model.layers.50.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
429 |
+
"model.layers.50.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
430 |
+
"model.layers.50.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
431 |
+
"model.layers.51.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
432 |
+
"model.layers.51.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
433 |
+
"model.layers.51.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
434 |
+
"model.layers.51.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
435 |
+
"model.layers.51.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
436 |
+
"model.layers.51.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
437 |
+
"model.layers.51.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
438 |
+
"model.layers.51.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
439 |
+
"model.layers.51.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
440 |
+
"model.layers.52.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
441 |
+
"model.layers.52.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
442 |
+
"model.layers.52.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
443 |
+
"model.layers.52.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
444 |
+
"model.layers.52.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
445 |
+
"model.layers.52.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
446 |
+
"model.layers.52.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
447 |
+
"model.layers.52.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
448 |
+
"model.layers.52.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
449 |
+
"model.layers.53.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
450 |
+
"model.layers.53.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
451 |
+
"model.layers.53.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
452 |
+
"model.layers.53.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
453 |
+
"model.layers.53.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
454 |
+
"model.layers.53.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
455 |
+
"model.layers.53.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
456 |
+
"model.layers.53.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
457 |
+
"model.layers.53.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
458 |
+
"model.layers.54.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
459 |
+
"model.layers.54.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
460 |
+
"model.layers.54.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
461 |
+
"model.layers.54.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
462 |
+
"model.layers.54.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
463 |
+
"model.layers.54.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
464 |
+
"model.layers.54.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
465 |
+
"model.layers.54.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
466 |
+
"model.layers.54.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
467 |
+
"model.layers.55.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
468 |
+
"model.layers.55.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
469 |
+
"model.layers.55.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
470 |
+
"model.layers.55.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
471 |
+
"model.layers.55.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
472 |
+
"model.layers.55.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
473 |
+
"model.layers.55.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
474 |
+
"model.layers.55.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
475 |
+
"model.layers.55.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
476 |
+
"model.layers.56.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
477 |
+
"model.layers.56.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
478 |
+
"model.layers.56.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
479 |
+
"model.layers.56.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
480 |
+
"model.layers.56.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
481 |
+
"model.layers.56.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
482 |
+
"model.layers.56.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
483 |
+
"model.layers.56.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
484 |
+
"model.layers.56.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
485 |
+
"model.layers.57.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
486 |
+
"model.layers.57.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
487 |
+
"model.layers.57.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
488 |
+
"model.layers.57.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
489 |
+
"model.layers.57.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
490 |
+
"model.layers.57.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
491 |
+
"model.layers.57.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
492 |
+
"model.layers.57.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
493 |
+
"model.layers.57.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
494 |
+
"model.layers.58.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
495 |
+
"model.layers.58.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
496 |
+
"model.layers.58.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
497 |
+
"model.layers.58.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
498 |
+
"model.layers.58.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
499 |
+
"model.layers.58.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
500 |
+
"model.layers.58.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
501 |
+
"model.layers.58.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
502 |
+
"model.layers.58.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
503 |
+
"model.layers.59.input_layernorm.weight": "model-00015-of-00015.safetensors",
|
504 |
+
"model.layers.59.mlp.down_proj.weight": "model-00015-of-00015.safetensors",
|
505 |
+
"model.layers.59.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
506 |
+
"model.layers.59.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
507 |
+
"model.layers.59.post_attention_layernorm.weight": "model-00015-of-00015.safetensors",
|
508 |
+
"model.layers.59.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
509 |
+
"model.layers.59.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
510 |
+
"model.layers.59.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
511 |
+
"model.layers.59.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
512 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
513 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
514 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
515 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
516 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
517 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
518 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
519 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
520 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
521 |
+
"model.layers.7.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
522 |
+
"model.layers.7.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
523 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
524 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
525 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
526 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
527 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
528 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
529 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
530 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
531 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
532 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
533 |
+
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
534 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
535 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
536 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
537 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
538 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
539 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
540 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
541 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
542 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
543 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
544 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
545 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
546 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
547 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
548 |
+
"model.norm.weight": "model-00015-of-00015.safetensors"
|
549 |
+
}
|
550 |
+
}
|
output-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae5d60e7b4b6970a6d023201f8945172e132f665999beaa036c5c1c7add2e2ea
|
3 |
+
size 8589645320
|
output-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:103a1a8f4a1fd988ceaecd0020fda0637d012be4d5ece24ec50ed91f3f0e0792
|
3 |
+
size 8529180432
|
output-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9be5a6a5c97aba7ed2f0e2c025c1ae59ccb2ee320c2f9d972aac2b57a1498956
|
3 |
+
size 896595080
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<unk>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
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 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"clean_up_tokenization_spaces": false,
|
32 |
+
"eos_token": "</s>",
|
33 |
+
"legacy": true,
|
34 |
+
"model_max_length": 200000,
|
35 |
+
"pad_token": "<unk>",
|
36 |
+
"padding_side": "right",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"tokenizer_class": "LlamaTokenizer",
|
39 |
+
"unk_token": "<unk>",
|
40 |
+
"use_default_system_prompt": false,
|
41 |
+
"chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx > 1 -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{- messages[idx]['content'] + ' [/INST]' -}}\n{%- endif -%}\n{% elif messages[idx]['role'] == 'system' %}\n{{- '[INST] <<SYS>>\\n' + messages[idx]['content'] + '\\n<</SYS>>\\n\\n' -}}\n{%- elif messages[idx]['role'] == 'assistant' -%}\n{{- ' ' + messages[idx]['content'] + ' ' + eos_token -}}\n{% endif %}\n{% endfor %}"
|
42 |
+
}
|