Commit
•
bbeb199
1
Parent(s):
8072e28
Upload folder using huggingface_hub
Browse files- README.md +177 -0
- added_tokens.json +4 -0
- config.json +30 -0
- config.json-orig +30 -0
- generation_config.json +10 -0
- huggingface-metadata.txt +20 -0
- model.safetensors.index.json +730 -0
- output-00001-of-00007.safetensors +3 -0
- output-00002-of-00007.safetensors +3 -0
- output-00003-of-00007.safetensors +3 -0
- output-00004-of-00007.safetensors +3 -0
- output-00005-of-00007.safetensors +3 -0
- output-00006-of-00007.safetensors +3 -0
- output-00007-of-00007.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +60 -0
- tokenizer_config.json-orig +60 -0
README.md
ADDED
|
@@ -0,0 +1,177 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
datasets:
|
| 3 |
+
- Open-Orca/SlimOrca-Dedup
|
| 4 |
+
- teknium/openhermes
|
| 5 |
+
- meta-math/MetaMathQA
|
| 6 |
+
- migtissera/Synthia-v1.3
|
| 7 |
+
- THUDM/AgentInstruct
|
| 8 |
+
- LeoLM/German_Songs
|
| 9 |
+
- LeoLM/German_Poems
|
| 10 |
+
- LeoLM/OpenSchnabeltier
|
| 11 |
+
- bjoernp/ultrachat_de
|
| 12 |
+
language:
|
| 13 |
+
- en
|
| 14 |
+
- de
|
| 15 |
+
library_name: transformers
|
| 16 |
+
pipeline_tag: text-generation
|
| 17 |
+
license: llama2
|
| 18 |
+
model_creator: DiscoResearch
|
| 19 |
+
model_type: llama
|
| 20 |
+
tags:
|
| 21 |
+
- goliath
|
| 22 |
+
- deutsch
|
| 23 |
+
- llama2
|
| 24 |
+
- discoresearch
|
| 25 |
+
---
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
# DiscoLM 70b
|
| 31 |
+
|
| 32 |
+
**DiscoLM 70b** is a 70b model based on [Laion's LeoLM 70b](https://huggingface.co/LeoLM/leo-hessianai-70b) which underwent additional continued pretraining for 65b tokens of German
|
| 33 |
+
text, strengthening it's multilingual capabilities while retaining (and partially improving) English capabilities.
|
| 34 |
+
This was then further finetuned on a combination of some the most popular open-source instruction sets.
|
| 35 |
+
DiscoLM 70b is a [DiscoResearch](https://huggingface.co/DiscoResearch) project and was trained by [Björn Plüster](https://huggingface.co/bjoernp).
|
| 36 |
+
|
| 37 |
+
The model was trained with compute provided by [HessianAI](https://hessian.ai/) - we are very grateful for their support; please check out their wesbite and projects!
|
| 38 |
+
|
| 39 |
+
<img src="https://hessian.ai/wp-content/themes/hessianai/img/hessian-ai-logo.svg" width="120">
|
| 40 |
+
|
| 41 |
+
## Table of Contents
|
| 42 |
+
|
| 43 |
+
1. [Download](#download)
|
| 44 |
+
2. [Benchmarks](#benchmarks)
|
| 45 |
+
3. [Prompt Format](#prompt-format)
|
| 46 |
+
4. [Dataset](#dataset)
|
| 47 |
+
5. [Acknowledgements](#acknowledgements)
|
| 48 |
+
6. [Contact](#contact)
|
| 49 |
+
7. [About DiscoResearch](#about-discoresearch)
|
| 50 |
+
8. [Disclaimer](#disclaimer)
|
| 51 |
+
|
| 52 |
+
## Download
|
| 53 |
+
|
| 54 |
+
| Huggingface | GPTQ | GGUF | AWQ | *Base Model* |
|
| 55 |
+
|-------|-------|-------|-------|-------|
|
| 56 |
+
| [Link](https://huggingface.co/DiscoResearch/DiscoLM-70b) | soon | soon | soon | [LeoLM 70b](https://huggingface.co/LeoLM/leo-hessianai-70b) |
|
| 57 |
+
|
| 58 |
+
## Benchmarks
|
| 59 |
+
|
| 60 |
+
### Hugginface Leaderboard
|
| 61 |
+
|
| 62 |
+
This models is still an early Alpha and we can't guarantee that there isn't any contamination.
|
| 63 |
+
However, the average of **71.24** would earn the #3 spot on the HF leaderboard at the time of writing.
|
| 64 |
+
|
| 65 |
+
| Metric | Value |
|
| 66 |
+
|-----------------------|-------|
|
| 67 |
+
| ARC (25-shot) | 68.77 |
|
| 68 |
+
| HellaSwag (10-shot) | 85.41 |
|
| 69 |
+
| MMLU (5-shot) | 68.64 |
|
| 70 |
+
| TruthfulQA (0-shot) | 57.69 |
|
| 71 |
+
| Winogrande (5-shot) | 83.27 |
|
| 72 |
+
| GSM8k (5-shot) | 63.68 |
|
| 73 |
+
| **Avg.** | **71.24** |
|
| 74 |
+
|
| 75 |
+
We use [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard.
|
| 76 |
+
|
| 77 |
+
### FastEval
|
| 78 |
+
|
| 79 |
+
| Metric | Value |
|
| 80 |
+
|-----------------------|-------|
|
| 81 |
+
| GSM8K | 70.6 |
|
| 82 |
+
| Math | 17.8 |
|
| 83 |
+
| BBH | 63.4 |
|
| 84 |
+
| MMLU | 64.7 |
|
| 85 |
+
| **Avg.** | **48.87** |
|
| 86 |
+
|
| 87 |
+
Screenshot of the current (sadly no longer maintained) FastEval CoT leaderboard:
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
### MTBench
|
| 91 |
+
|
| 92 |
+
```json
|
| 93 |
+
{
|
| 94 |
+
"first_turn": 7.9,
|
| 95 |
+
"second_turn": 7.0625,
|
| 96 |
+
"categories": {
|
| 97 |
+
"writing": 9.55,
|
| 98 |
+
"roleplay": 8.35,
|
| 99 |
+
"reasoning": 6.15,
|
| 100 |
+
"math": 4.7,
|
| 101 |
+
"coding": 4.8,
|
| 102 |
+
"extraction": 7.35,
|
| 103 |
+
"stem": 9.1,
|
| 104 |
+
"humanities": 9.85
|
| 105 |
+
},
|
| 106 |
+
"average": 7.48125
|
| 107 |
+
}
|
| 108 |
+
```
|
| 109 |
+
Screenshot of the current FastEval MT Bench leaderboard:
|
| 110 |
+
|
| 111 |
+
## Prompt Format
|
| 112 |
+
|
| 113 |
+
This model follows the ChatML format:
|
| 114 |
+
|
| 115 |
+
```
|
| 116 |
+
<|im_start|>system
|
| 117 |
+
You are DiscoLM, a helpful assistant.
|
| 118 |
+
<|im_end|>
|
| 119 |
+
<|im_start|>user
|
| 120 |
+
Please tell me possible reasons to call a research collective "Disco Research"<|im_end|>
|
| 121 |
+
<|im_start|>assistant
|
| 122 |
+
```
|
| 123 |
+
|
| 124 |
+
This formatting is also available via a pre-defined Transformers chat template, which means that lists of messages can be formatted for you with the apply_chat_template() method:
|
| 125 |
+
|
| 126 |
+
```python
|
| 127 |
+
chat = [
|
| 128 |
+
{"role": "system", "content": "You are DiscoLM, a helpful assistant."},
|
| 129 |
+
{"role": "user", "content": "Please tell me possible reasons to call a research collective Disco Research"}
|
| 130 |
+
]
|
| 131 |
+
tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
|
| 132 |
+
```
|
| 133 |
+
|
| 134 |
+
If you use `tokenize=True` and `return_tensors="pt"` instead, then you will get a tokenized and formatted conversation ready to pass to `model.generate()`.
|
| 135 |
+
|
| 136 |
+
## Dataset
|
| 137 |
+
|
| 138 |
+
The dataset curation for DiscoLM 70b followed a "brute force"/"PoC" approach.
|
| 139 |
+
|
| 140 |
+
The following datasets were used for training DiscoLM 70b:
|
| 141 |
+
|
| 142 |
+
* [SlimOrca-Dedup](https://huggingface.co/datasets/Open-Orca/SlimOrca-Dedup)
|
| 143 |
+
* [OpenSchnabeltier](https://huggingface.co/datasets/LeoLM/OpenSchnabeltier) translated to DE from [OpenPlatypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus)
|
| 144 |
+
* [OpenHermes](https://huggingface.co/datasets/teknium/openhermes)
|
| 145 |
+
* [MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA)
|
| 146 |
+
* [UltraChat DE](https://huggingface.co/datasets/bjoernp/ultrachat_de) translated to DE from [UltraChat](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k)
|
| 147 |
+
* [Synthia v.1.3](https://huggingface.co/datasets/migtissera/Synthia-v1.3)
|
| 148 |
+
* [German_Songs](https://huggingface.co/datasets/LeoLM/German_Songs)
|
| 149 |
+
* [German_Poems](https://huggingface.co/datasets/LeoLM/German_Poems)
|
| 150 |
+
* Capybara Dataset by [Nous Research](https://huggingface.co/NousResearch/)
|
| 151 |
+
|
| 152 |
+
Many thanks for all dataset providers/curators!
|
| 153 |
+
|
| 154 |
+
## Contact
|
| 155 |
+
|
| 156 |
+
Best way to reach us is on our [Discord](https://discord.gg/S8W8B5nz3v).
|
| 157 |
+
|
| 158 |
+
## About DiscoResearch
|
| 159 |
+
|
| 160 |
+
DiscoResearch is an aspiring open research community. Disco should be a place where researchers from many communities can come together to combine their expertise and create innovative and groundbreaking LLMs. Come join our Discord, share your opinions and ideas, and advance open LLM research with us!
|
| 161 |
+
|
| 162 |
+
## Acknowledgements
|
| 163 |
+
|
| 164 |
+
Disco 70b is a [DiscoResearch](https://huggingface.co/DiscoResearch) project and was trained by [Björn Plüster](https://huggingface.co/bjoernp). [Jan Harries](https://huggingface.co/jphme) helped with technical adivce, logistics and the Model Card.
|
| 165 |
+
[AutoMeta](https://huggingface.co/Alignment-Lab-AI) also provided helpful technical advice and rounded up his connections to select a set of high-quality datasets.
|
| 166 |
+
The model was trained with compute provided by [HessianAI](https://hessian.ai/) - many thanks in particular to [Patrick Schramowski](https://huggingface.co/PSaiml) for his support.
|
| 167 |
+
|
| 168 |
+
We are standing on the shoulders of giants; many thanks in no particular order to [Laion](https://laion.ai) for LeoLM 70b
|
| 169 |
+
(especially to [Christoph Schuhmann](https://laion.ai) who got us all connected),
|
| 170 |
+
[TheBloke](https://huggingface.co/TheBloke) for providing quantized versions, [winglian](https://huggingface.co/winglian) for Axolotl which was used to train the model and the SlimOrca dataset, [garage-bAInd](https://huggingface.co/garage-bAInd), [Teknium](https://huggingface.co/teknium), [Migel Tissera](https://huggingface.co/migtissera), [MetaMath](https://huggingface.co/meta-math) for their great datasets (please contact us if we forgot to mention you here!).
|
| 171 |
+
|
| 172 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
| 173 |
+
|
| 174 |
+
## Disclaimer
|
| 175 |
+
|
| 176 |
+
The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model.
|
| 177 |
+
This model should only be used for research purposes. The original Llama2 license and all restrictions of datasets used to train this model apply.
|
added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|im_end|>": 32000,
|
| 3 |
+
"<|im_start|>": 32001
|
| 4 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bjoernp/leo-big",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"bos_token_id": 32001,
|
| 8 |
+
"eos_token_id": 32000,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 8192,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 28672,
|
| 13 |
+
"max_position_embeddings": 8192,
|
| 14 |
+
"model_type": "llama",
|
| 15 |
+
"num_attention_heads": 64,
|
| 16 |
+
"num_hidden_layers": 80,
|
| 17 |
+
"num_key_value_heads": 8,
|
| 18 |
+
"pretraining_tp": 1,
|
| 19 |
+
"rms_norm_eps": 1e-05,
|
| 20 |
+
"rope_scaling": {
|
| 21 |
+
"factor": 2.0,
|
| 22 |
+
"type": "linear"
|
| 23 |
+
},
|
| 24 |
+
"rope_theta": 10000.0,
|
| 25 |
+
"tie_word_embeddings": false,
|
| 26 |
+
"torch_dtype": "float16",
|
| 27 |
+
"transformers_version": "4.35.2",
|
| 28 |
+
"use_cache": true,
|
| 29 |
+
"vocab_size": 32032
|
| 30 |
+
}
|
config.json-orig
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bjoernp/leo-big",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"bos_token_id": 1,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 8192,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 28672,
|
| 13 |
+
"max_position_embeddings": 8192,
|
| 14 |
+
"model_type": "llama",
|
| 15 |
+
"num_attention_heads": 64,
|
| 16 |
+
"num_hidden_layers": 80,
|
| 17 |
+
"num_key_value_heads": 8,
|
| 18 |
+
"pretraining_tp": 1,
|
| 19 |
+
"rms_norm_eps": 1e-05,
|
| 20 |
+
"rope_scaling": {
|
| 21 |
+
"factor": 2.0,
|
| 22 |
+
"type": "linear"
|
| 23 |
+
},
|
| 24 |
+
"rope_theta": 10000.0,
|
| 25 |
+
"tie_word_embeddings": false,
|
| 26 |
+
"torch_dtype": "float16",
|
| 27 |
+
"transformers_version": "4.35.2",
|
| 28 |
+
"use_cache": true,
|
| 29 |
+
"vocab_size": 32032
|
| 30 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"max_length": 8192,
|
| 6 |
+
"pad_token_id": 0,
|
| 7 |
+
"temperature": 0.6,
|
| 8 |
+
"top_p": 0.9,
|
| 9 |
+
"transformers_version": "4.35.2"
|
| 10 |
+
}
|
huggingface-metadata.txt
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
url: https://huggingface.co/DiscoResearch/DiscoLM-70b
|
| 2 |
+
branch: main
|
| 3 |
+
download date: 2023-12-04 06:03:01
|
| 4 |
+
sha256sum:
|
| 5 |
+
644fc87ed6a30b8d6357e48ebd5050653946dd50d0cb77c76ff1559cd1c9e1cc model-00001-of-00015.safetensors
|
| 6 |
+
06df6a57c10bfdfbdaa2dfe4b23352cfb80118155e1d48c92942eef68b9a9acd model-00002-of-00015.safetensors
|
| 7 |
+
26f01ce80a79b4f3ef94f83e5cdd10bccb9815cb61e78f711abe4f22606ebc12 model-00003-of-00015.safetensors
|
| 8 |
+
aa653f1551c561fc5cbabbd4940cc82e7812f9609f9c39a13ba489976169438f model-00004-of-00015.safetensors
|
| 9 |
+
96d86ed1803b52034081cb4fc501315c2a6bcec5782266ac5466d8f76ecf2738 model-00005-of-00015.safetensors
|
| 10 |
+
ef697153b3346292e6edb1f201472db75e46ed55ae40a4ac0fac518d27ac3ee4 model-00006-of-00015.safetensors
|
| 11 |
+
d11a95bc89dbe432b8203c93b41e3c94cd4d95684ef44607ec8c91cf8f7b0b7d model-00007-of-00015.safetensors
|
| 12 |
+
23a07e4af0dd0f438a9c2508f48c864036cd79d45b96c66a2ef91e486d4d8ea2 model-00008-of-00015.safetensors
|
| 13 |
+
86102cb6af4ea60c7d636733bfcc2aab9489f8f98185061d694bb0d983076161 model-00009-of-00015.safetensors
|
| 14 |
+
8a3f73dbed0b64ddeafc5dc6ca7b068cdd3dfefad3ff9461544d6e126c7a4588 model-00010-of-00015.safetensors
|
| 15 |
+
bd39a08f843481a0a4332c8231bb90dbb275cdfd1a3eaa21449d9a9ddde4c587 model-00011-of-00015.safetensors
|
| 16 |
+
4848ef786bf7557ae708c5c84a0290bab18ab402851c946816cac300d2b873e7 model-00012-of-00015.safetensors
|
| 17 |
+
8214da53a76f7ef01ac319d444646e433c38798084895b2a4fd5b7d2b2a8d31f model-00013-of-00015.safetensors
|
| 18 |
+
ff689129f70b3ac6c077cc731477652f3146264205000fbdfc5dcff4df349c2b model-00014-of-00015.safetensors
|
| 19 |
+
21759ce2e878b54e25cd178da37a15ccae9f45633684c6cbd118b2638a87a179 model-00015-of-00015.safetensors
|
| 20 |
+
9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347 tokenizer.model
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,730 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 137954344960
|
| 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-00002-of-00015.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-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-00002-of-00015.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-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-00003-of-00015.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-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-00004-of-00015.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-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-00001-of-00015.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-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-00006-of-00015.safetensors",
|
| 225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
| 226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
| 227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
| 228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
| 230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
| 231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
| 232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
| 233 |
+
"model.layers.31.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
| 235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
| 236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
| 237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
| 239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
| 240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
| 241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
| 242 |
+
"model.layers.32.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 243 |
+
"model.layers.32.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
| 244 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
| 245 |
+
"model.layers.32.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
| 246 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 247 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
| 248 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
| 249 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
| 250 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
| 251 |
+
"model.layers.33.input_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 252 |
+
"model.layers.33.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
|
| 253 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
|
| 254 |
+
"model.layers.33.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
|
| 255 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
|
| 256 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
| 257 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
| 258 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
| 259 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
| 260 |
+
"model.layers.34.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 261 |
+
"model.layers.34.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
| 262 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
| 263 |
+
"model.layers.34.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
| 264 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 265 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
|
| 266 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
|
| 267 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
|
| 268 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
|
| 269 |
+
"model.layers.35.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 270 |
+
"model.layers.35.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
| 271 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
| 272 |
+
"model.layers.35.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
| 273 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 274 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
| 275 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
| 276 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
| 277 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
| 278 |
+
"model.layers.36.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 279 |
+
"model.layers.36.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
| 280 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
| 281 |
+
"model.layers.36.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
| 282 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 283 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
| 284 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
| 285 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
| 286 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
| 287 |
+
"model.layers.37.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 288 |
+
"model.layers.37.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
| 289 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
| 290 |
+
"model.layers.37.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
| 291 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 292 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
| 293 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
| 294 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
| 295 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
| 296 |
+
"model.layers.38.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 297 |
+
"model.layers.38.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
| 298 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
| 299 |
+
"model.layers.38.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
| 300 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 301 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
| 302 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
| 303 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
| 304 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
| 305 |
+
"model.layers.39.input_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 306 |
+
"model.layers.39.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
|
| 307 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
|
| 308 |
+
"model.layers.39.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
|
| 309 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
|
| 310 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
|
| 311 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
|
| 312 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
|
| 313 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
|
| 314 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00015.safetensors",
|
| 315 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
|
| 316 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
|
| 317 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
|
| 318 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
|
| 319 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
| 320 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
| 321 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
| 322 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
| 323 |
+
"model.layers.40.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 324 |
+
"model.layers.40.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
| 325 |
+
"model.layers.40.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
| 326 |
+
"model.layers.40.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
| 327 |
+
"model.layers.40.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 328 |
+
"model.layers.40.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
| 329 |
+
"model.layers.40.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
| 330 |
+
"model.layers.40.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
| 331 |
+
"model.layers.40.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
| 332 |
+
"model.layers.41.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 333 |
+
"model.layers.41.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
| 334 |
+
"model.layers.41.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
| 335 |
+
"model.layers.41.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
| 336 |
+
"model.layers.41.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 337 |
+
"model.layers.41.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
| 338 |
+
"model.layers.41.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
| 339 |
+
"model.layers.41.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
| 340 |
+
"model.layers.41.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
| 341 |
+
"model.layers.42.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 342 |
+
"model.layers.42.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
| 343 |
+
"model.layers.42.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
| 344 |
+
"model.layers.42.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
| 345 |
+
"model.layers.42.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 346 |
+
"model.layers.42.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
| 347 |
+
"model.layers.42.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
| 348 |
+
"model.layers.42.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
| 349 |
+
"model.layers.42.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
| 350 |
+
"model.layers.43.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 351 |
+
"model.layers.43.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
| 352 |
+
"model.layers.43.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
| 353 |
+
"model.layers.43.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
| 354 |
+
"model.layers.43.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 355 |
+
"model.layers.43.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
| 356 |
+
"model.layers.43.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
| 357 |
+
"model.layers.43.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
| 358 |
+
"model.layers.43.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
| 359 |
+
"model.layers.44.input_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 360 |
+
"model.layers.44.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
|
| 361 |
+
"model.layers.44.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
| 362 |
+
"model.layers.44.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
| 363 |
+
"model.layers.44.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
|
| 364 |
+
"model.layers.44.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
| 365 |
+
"model.layers.44.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
| 366 |
+
"model.layers.44.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
| 367 |
+
"model.layers.44.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
| 368 |
+
"model.layers.45.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 369 |
+
"model.layers.45.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
| 370 |
+
"model.layers.45.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
|
| 371 |
+
"model.layers.45.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
|
| 372 |
+
"model.layers.45.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 373 |
+
"model.layers.45.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
|
| 374 |
+
"model.layers.45.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
|
| 375 |
+
"model.layers.45.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
|
| 376 |
+
"model.layers.45.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
|
| 377 |
+
"model.layers.46.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 378 |
+
"model.layers.46.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
| 379 |
+
"model.layers.46.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
| 380 |
+
"model.layers.46.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
| 381 |
+
"model.layers.46.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 382 |
+
"model.layers.46.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
| 383 |
+
"model.layers.46.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
| 384 |
+
"model.layers.46.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
| 385 |
+
"model.layers.46.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
| 386 |
+
"model.layers.47.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 387 |
+
"model.layers.47.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
| 388 |
+
"model.layers.47.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
| 389 |
+
"model.layers.47.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
| 390 |
+
"model.layers.47.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 391 |
+
"model.layers.47.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
| 392 |
+
"model.layers.47.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
| 393 |
+
"model.layers.47.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
| 394 |
+
"model.layers.47.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
| 395 |
+
"model.layers.48.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 396 |
+
"model.layers.48.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
| 397 |
+
"model.layers.48.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
| 398 |
+
"model.layers.48.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
| 399 |
+
"model.layers.48.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 400 |
+
"model.layers.48.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
| 401 |
+
"model.layers.48.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
| 402 |
+
"model.layers.48.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
| 403 |
+
"model.layers.48.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
| 404 |
+
"model.layers.49.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 405 |
+
"model.layers.49.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
| 406 |
+
"model.layers.49.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
| 407 |
+
"model.layers.49.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
| 408 |
+
"model.layers.49.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 409 |
+
"model.layers.49.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
| 410 |
+
"model.layers.49.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
| 411 |
+
"model.layers.49.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
| 412 |
+
"model.layers.49.self_attn.v_proj.weight": "model-00009-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-00001-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-00001-of-00015.safetensors",
|
| 419 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
|
| 420 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
| 421 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
| 422 |
+
"model.layers.50.input_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 423 |
+
"model.layers.50.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
|
| 424 |
+
"model.layers.50.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
| 425 |
+
"model.layers.50.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
|
| 426 |
+
"model.layers.50.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
|
| 427 |
+
"model.layers.50.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
| 428 |
+
"model.layers.50.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
| 429 |
+
"model.layers.50.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
| 430 |
+
"model.layers.50.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
| 431 |
+
"model.layers.51.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 432 |
+
"model.layers.51.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
| 433 |
+
"model.layers.51.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
|
| 434 |
+
"model.layers.51.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
| 435 |
+
"model.layers.51.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 436 |
+
"model.layers.51.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
|
| 437 |
+
"model.layers.51.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
|
| 438 |
+
"model.layers.51.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
|
| 439 |
+
"model.layers.51.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
|
| 440 |
+
"model.layers.52.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 441 |
+
"model.layers.52.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
| 442 |
+
"model.layers.52.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
| 443 |
+
"model.layers.52.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
| 444 |
+
"model.layers.52.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 445 |
+
"model.layers.52.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
| 446 |
+
"model.layers.52.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
| 447 |
+
"model.layers.52.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
| 448 |
+
"model.layers.52.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
| 449 |
+
"model.layers.53.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 450 |
+
"model.layers.53.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
| 451 |
+
"model.layers.53.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
| 452 |
+
"model.layers.53.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
| 453 |
+
"model.layers.53.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 454 |
+
"model.layers.53.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
| 455 |
+
"model.layers.53.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
| 456 |
+
"model.layers.53.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
| 457 |
+
"model.layers.53.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
| 458 |
+
"model.layers.54.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 459 |
+
"model.layers.54.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
| 460 |
+
"model.layers.54.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
| 461 |
+
"model.layers.54.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
| 462 |
+
"model.layers.54.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 463 |
+
"model.layers.54.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
| 464 |
+
"model.layers.54.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
| 465 |
+
"model.layers.54.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
| 466 |
+
"model.layers.54.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
| 467 |
+
"model.layers.55.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 468 |
+
"model.layers.55.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
| 469 |
+
"model.layers.55.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
| 470 |
+
"model.layers.55.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
| 471 |
+
"model.layers.55.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 472 |
+
"model.layers.55.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
| 473 |
+
"model.layers.55.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
| 474 |
+
"model.layers.55.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
| 475 |
+
"model.layers.55.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
| 476 |
+
"model.layers.56.input_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 477 |
+
"model.layers.56.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
|
| 478 |
+
"model.layers.56.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
|
| 479 |
+
"model.layers.56.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
|
| 480 |
+
"model.layers.56.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
|
| 481 |
+
"model.layers.56.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
| 482 |
+
"model.layers.56.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
| 483 |
+
"model.layers.56.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
| 484 |
+
"model.layers.56.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
| 485 |
+
"model.layers.57.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 486 |
+
"model.layers.57.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
| 487 |
+
"model.layers.57.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
| 488 |
+
"model.layers.57.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
| 489 |
+
"model.layers.57.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 490 |
+
"model.layers.57.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
|
| 491 |
+
"model.layers.57.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
|
| 492 |
+
"model.layers.57.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
|
| 493 |
+
"model.layers.57.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
|
| 494 |
+
"model.layers.58.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 495 |
+
"model.layers.58.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
| 496 |
+
"model.layers.58.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
| 497 |
+
"model.layers.58.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
| 498 |
+
"model.layers.58.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 499 |
+
"model.layers.58.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
| 500 |
+
"model.layers.58.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
| 501 |
+
"model.layers.58.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
| 502 |
+
"model.layers.58.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
| 503 |
+
"model.layers.59.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 504 |
+
"model.layers.59.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
| 505 |
+
"model.layers.59.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
| 506 |
+
"model.layers.59.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
| 507 |
+
"model.layers.59.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 508 |
+
"model.layers.59.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
| 509 |
+
"model.layers.59.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
| 510 |
+
"model.layers.59.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
| 511 |
+
"model.layers.59.self_attn.v_proj.weight": "model-00011-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.60.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 522 |
+
"model.layers.60.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
| 523 |
+
"model.layers.60.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
| 524 |
+
"model.layers.60.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
| 525 |
+
"model.layers.60.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 526 |
+
"model.layers.60.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
| 527 |
+
"model.layers.60.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
| 528 |
+
"model.layers.60.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
| 529 |
+
"model.layers.60.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
| 530 |
+
"model.layers.61.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 531 |
+
"model.layers.61.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
| 532 |
+
"model.layers.61.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
| 533 |
+
"model.layers.61.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
| 534 |
+
"model.layers.61.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 535 |
+
"model.layers.61.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
| 536 |
+
"model.layers.61.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
| 537 |
+
"model.layers.61.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
| 538 |
+
"model.layers.61.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
| 539 |
+
"model.layers.62.input_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 540 |
+
"model.layers.62.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
|
| 541 |
+
"model.layers.62.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
|
| 542 |
+
"model.layers.62.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
|
| 543 |
+
"model.layers.62.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
|
| 544 |
+
"model.layers.62.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
|
| 545 |
+
"model.layers.62.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
|
| 546 |
+
"model.layers.62.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
|
| 547 |
+
"model.layers.62.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
|
| 548 |
+
"model.layers.63.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 549 |
+
"model.layers.63.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
| 550 |
+
"model.layers.63.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
| 551 |
+
"model.layers.63.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
| 552 |
+
"model.layers.63.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 553 |
+
"model.layers.63.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
| 554 |
+
"model.layers.63.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
| 555 |
+
"model.layers.63.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
| 556 |
+
"model.layers.63.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
| 557 |
+
"model.layers.64.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 558 |
+
"model.layers.64.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
| 559 |
+
"model.layers.64.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
| 560 |
+
"model.layers.64.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
| 561 |
+
"model.layers.64.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 562 |
+
"model.layers.64.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
| 563 |
+
"model.layers.64.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
| 564 |
+
"model.layers.64.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
| 565 |
+
"model.layers.64.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
| 566 |
+
"model.layers.65.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 567 |
+
"model.layers.65.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
| 568 |
+
"model.layers.65.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
| 569 |
+
"model.layers.65.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
| 570 |
+
"model.layers.65.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 571 |
+
"model.layers.65.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
| 572 |
+
"model.layers.65.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
| 573 |
+
"model.layers.65.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
| 574 |
+
"model.layers.65.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
| 575 |
+
"model.layers.66.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 576 |
+
"model.layers.66.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
| 577 |
+
"model.layers.66.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
| 578 |
+
"model.layers.66.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
| 579 |
+
"model.layers.66.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 580 |
+
"model.layers.66.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
| 581 |
+
"model.layers.66.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
| 582 |
+
"model.layers.66.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
| 583 |
+
"model.layers.66.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
| 584 |
+
"model.layers.67.input_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 585 |
+
"model.layers.67.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
|
| 586 |
+
"model.layers.67.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
| 587 |
+
"model.layers.67.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
| 588 |
+
"model.layers.67.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
|
| 589 |
+
"model.layers.67.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
| 590 |
+
"model.layers.67.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
| 591 |
+
"model.layers.67.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
| 592 |
+
"model.layers.67.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
| 593 |
+
"model.layers.68.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 594 |
+
"model.layers.68.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
| 595 |
+
"model.layers.68.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
|
| 596 |
+
"model.layers.68.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
|
| 597 |
+
"model.layers.68.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 598 |
+
"model.layers.68.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
|
| 599 |
+
"model.layers.68.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
|
| 600 |
+
"model.layers.68.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
|
| 601 |
+
"model.layers.68.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
|
| 602 |
+
"model.layers.69.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 603 |
+
"model.layers.69.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
| 604 |
+
"model.layers.69.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
| 605 |
+
"model.layers.69.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
| 606 |
+
"model.layers.69.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 607 |
+
"model.layers.69.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
| 608 |
+
"model.layers.69.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
| 609 |
+
"model.layers.69.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
| 610 |
+
"model.layers.69.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
| 611 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
| 612 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
| 613 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
| 614 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
| 615 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
| 616 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
| 617 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
| 618 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
| 619 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
| 620 |
+
"model.layers.70.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 621 |
+
"model.layers.70.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
| 622 |
+
"model.layers.70.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
| 623 |
+
"model.layers.70.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
| 624 |
+
"model.layers.70.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 625 |
+
"model.layers.70.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
| 626 |
+
"model.layers.70.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
| 627 |
+
"model.layers.70.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
| 628 |
+
"model.layers.70.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
| 629 |
+
"model.layers.71.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 630 |
+
"model.layers.71.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
| 631 |
+
"model.layers.71.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
| 632 |
+
"model.layers.71.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
| 633 |
+
"model.layers.71.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 634 |
+
"model.layers.71.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
| 635 |
+
"model.layers.71.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
| 636 |
+
"model.layers.71.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
| 637 |
+
"model.layers.71.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
| 638 |
+
"model.layers.72.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 639 |
+
"model.layers.72.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
| 640 |
+
"model.layers.72.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
| 641 |
+
"model.layers.72.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
| 642 |
+
"model.layers.72.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 643 |
+
"model.layers.72.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
| 644 |
+
"model.layers.72.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
| 645 |
+
"model.layers.72.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
| 646 |
+
"model.layers.72.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
| 647 |
+
"model.layers.73.input_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 648 |
+
"model.layers.73.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
|
| 649 |
+
"model.layers.73.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
| 650 |
+
"model.layers.73.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
|
| 651 |
+
"model.layers.73.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
|
| 652 |
+
"model.layers.73.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
| 653 |
+
"model.layers.73.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
| 654 |
+
"model.layers.73.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
| 655 |
+
"model.layers.73.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
| 656 |
+
"model.layers.74.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 657 |
+
"model.layers.74.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
| 658 |
+
"model.layers.74.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
|
| 659 |
+
"model.layers.74.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
| 660 |
+
"model.layers.74.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 661 |
+
"model.layers.74.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
|
| 662 |
+
"model.layers.74.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
|
| 663 |
+
"model.layers.74.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
|
| 664 |
+
"model.layers.74.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
|
| 665 |
+
"model.layers.75.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 666 |
+
"model.layers.75.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
| 667 |
+
"model.layers.75.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
| 668 |
+
"model.layers.75.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
| 669 |
+
"model.layers.75.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 670 |
+
"model.layers.75.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
| 671 |
+
"model.layers.75.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
| 672 |
+
"model.layers.75.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
| 673 |
+
"model.layers.75.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
| 674 |
+
"model.layers.76.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 675 |
+
"model.layers.76.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
| 676 |
+
"model.layers.76.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
| 677 |
+
"model.layers.76.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
| 678 |
+
"model.layers.76.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 679 |
+
"model.layers.76.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
| 680 |
+
"model.layers.76.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
| 681 |
+
"model.layers.76.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
| 682 |
+
"model.layers.76.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
| 683 |
+
"model.layers.77.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 684 |
+
"model.layers.77.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
| 685 |
+
"model.layers.77.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
| 686 |
+
"model.layers.77.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
| 687 |
+
"model.layers.77.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 688 |
+
"model.layers.77.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
| 689 |
+
"model.layers.77.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
| 690 |
+
"model.layers.77.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
| 691 |
+
"model.layers.77.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
| 692 |
+
"model.layers.78.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 693 |
+
"model.layers.78.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
| 694 |
+
"model.layers.78.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
| 695 |
+
"model.layers.78.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
| 696 |
+
"model.layers.78.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 697 |
+
"model.layers.78.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
| 698 |
+
"model.layers.78.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
| 699 |
+
"model.layers.78.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
| 700 |
+
"model.layers.78.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
| 701 |
+
"model.layers.79.input_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 702 |
+
"model.layers.79.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
|
| 703 |
+
"model.layers.79.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
|
| 704 |
+
"model.layers.79.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
|
| 705 |
+
"model.layers.79.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
|
| 706 |
+
"model.layers.79.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
|
| 707 |
+
"model.layers.79.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
|
| 708 |
+
"model.layers.79.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
|
| 709 |
+
"model.layers.79.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
|
| 710 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
| 711 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
| 712 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
| 713 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
| 714 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
| 715 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
| 716 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
| 717 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
| 718 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
| 719 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00015.safetensors",
|
| 720 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
|
| 721 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
|
| 722 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
|
| 723 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
|
| 724 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
|
| 725 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
|
| 726 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
|
| 727 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
|
| 728 |
+
"model.norm.weight": "model-00014-of-00015.safetensors"
|
| 729 |
+
}
|
| 730 |
+
}
|
output-00001-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4e89b4807e45218ae4ec56e40b6f9d18fd417377045904132a0f281106ef00b5
|
| 3 |
+
size 8543486680
|
output-00002-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2167a50122af1dc7fcf74252f8fb491d5d3997db79ceb57ecf9b9fc1cbcc1f9
|
| 3 |
+
size 8529942120
|
output-00003-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0314c0afa26fe4ad61134b798b8a940c789706db006ae4ffdcb06436f4662b26
|
| 3 |
+
size 8550063984
|
output-00004-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9935d5b863dd7aa05d55e34badbd30290d37d9d687b5c9a2dd6824b9aa36a418
|
| 3 |
+
size 8546231912
|
output-00005-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2e6a587f8927a7b00871aec3c1024d51283daa32b04989ce634ade31d66fdb7
|
| 3 |
+
size 8558163944
|
output-00006-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c71cd9ad393a4d4a3f632f77aa299a8ac881162d5e58b884a21601240a4e5a20
|
| 3 |
+
size 8500106968
|
output-00007-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:676a286984a545927b41b8224948c19c88ca167274cb2da84b006b12eb164b2b
|
| 3 |
+
size 881597504
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|im_end|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": true,
|
| 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 |
+
"32000": {
|
| 30 |
+
"content": "<|im_end|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32001": {
|
| 38 |
+
"content": "<|im_start|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": false
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
"bos_token": "<s>",
|
| 47 |
+
"clean_up_tokenization_spaces": false,
|
| 48 |
+
"eos_token": "<|im_end|>",
|
| 49 |
+
"legacy": false,
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"pad_token": "</s>",
|
| 52 |
+
"padding_side": "right",
|
| 53 |
+
"sp_model_kwargs": {},
|
| 54 |
+
"spaces_between_special_tokens": false,
|
| 55 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 56 |
+
"trust_remote_code": true,
|
| 57 |
+
"unk_token": "<unk>",
|
| 58 |
+
"use_default_system_prompt": true,
|
| 59 |
+
"use_fast": false
|
| 60 |
+
}
|
tokenizer_config.json-orig
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 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 |
+
"32000": {
|
| 30 |
+
"content": "<|im_end|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32001": {
|
| 38 |
+
"content": "<|im_start|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": false
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
"bos_token": "<s>",
|
| 47 |
+
"clean_up_tokenization_spaces": false,
|
| 48 |
+
"eos_token": "<|im_end|>",
|
| 49 |
+
"legacy": false,
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"pad_token": "</s>",
|
| 52 |
+
"padding_side": "right",
|
| 53 |
+
"sp_model_kwargs": {},
|
| 54 |
+
"spaces_between_special_tokens": false,
|
| 55 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 56 |
+
"trust_remote_code": true,
|
| 57 |
+
"unk_token": "<unk>",
|
| 58 |
+
"use_default_system_prompt": true,
|
| 59 |
+
"use_fast": false
|
| 60 |
+
}
|