初始化项目，由ModelHub XC社区提供模型
Model: pb09204048/CRISP-DeepSeek-R1-Distill-Llama-8B-v1 Source: Original Platform
This commit is contained in:
ModelHub XC
36
.gitattributes
vendored
Normal file
36
.gitattributes
vendored
Normal file
@@ -0,0 +1,36 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
71
README.md
Normal file
71
README.md
Normal file
@@ -0,0 +1,71 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
library_name: transformers
|
||||
pipeline_tag: text-generation
|
||||
language:
|
||||
- en
|
||||
tags:
|
||||
- math
|
||||
- reasoning
|
||||
- reasoning-compression
|
||||
- self-distillation
|
||||
- crisp
|
||||
base_model:
|
||||
- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
|
||||
datasets:
|
||||
- pb09204048/CRISP
|
||||
---
|
||||
|
||||
# CRISP-DeepSeek-R1-Distill-Llama-8B-v1
|
||||
|
||||
**DeepSeek-R1-Distill-Llama-8B** trained with **CRISP** (Compressed Reasoning via Iterative Self-Policy Distillation)
|
||||
using the **v1** conciseness teacher. Step-99 checkpoint.
|
||||
|
||||
**Paper:** https://arxiv.org/abs/2603.05433
|
||||
|
||||
CRISP teaches a reasoning model to think concisely by distilling its own concise behavior back into
|
||||
itself: the teacher is the *same* model conditioned on a conciseness instruction, the student has no
|
||||
instruction, and training minimizes per-token reverse KL from student to teacher on the student's own
|
||||
rollouts (teacher refreshed every `M=50` steps). No ground-truth answers, token budgets, or
|
||||
difficulty estimators enter the loss.
|
||||
|
||||
This checkpoint uses the **v1** teacher prompt:
|
||||
**v1 (uniform):** "Solve concisely and correctly. Be direct — avoid unnecessary elaboration, redundant steps, or restating the problem."
|
||||
|
||||
Other CRISP checkpoints: [Qwen3-8B](https://huggingface.co/pb09204048/CRISP-Qwen3-8B-v1) ([v2](https://huggingface.co/pb09204048/CRISP-Qwen3-8B-v2)),
|
||||
[Qwen3-14B](https://huggingface.co/pb09204048/CRISP-Qwen3-14B-v1) ([v2](https://huggingface.co/pb09204048/CRISP-Qwen3-14B-v2)),
|
||||
[DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/pb09204048/CRISP-DeepSeek-R1-Distill-Llama-8B-v1) ([v2](https://huggingface.co/pb09204048/CRISP-DeepSeek-R1-Distill-Llama-8B-v2)).
|
||||
Training data: [pb09204048/CRISP](https://huggingface.co/datasets/pb09204048/CRISP).
|
||||
|
||||
## Usage
|
||||
|
||||
```python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
tok = AutoTokenizer.from_pretrained("pb09204048/CRISP-DeepSeek-R1-Distill-Llama-8B-v1")
|
||||
model = AutoModelForCausalLM.from_pretrained("pb09204048/CRISP-DeepSeek-R1-Distill-Llama-8B-v1", device_map="auto")
|
||||
```
|
||||
|
||||
## Benchmark results (DeepSeek-R1-Distill-Llama-8B)
|
||||
|
||||
Accuracy (mean@8, %) and token reduction (Red., % vs. base) at a 30K-token budget. Math is scored with
|
||||
a dual-path grader (`Answer:` or `\boxed{}`); GPQA-Diamond and MMLU use exact letter-match. This
|
||||
model is the **CRISP (v1)** row.
|
||||
|
||||
| Setting | MATH-500 | AIME 2024 | AIME 2025 | GPQA-D | MMLU |
|
||||
|---------|----------|-----------|-----------|--------|------|
|
||||
| Base | 71.3 / — | 33.3 / — | 25.0 / — | 47.0 / — | 71.5 / — |
|
||||
| Concise prompt (v2) | 79.7 / 20.5% | 42.1 / 2.5% | 28.8 / 3.8% | 46.0 / 9.4% | 73.9 / 9.2% |
|
||||
| Concise prompt (v1) | 80.8 / 25.1% | 45.0 / 10.2% | 29.2 / 9.8% | 46.5 / 10.2% | 74.1 / 9.2% |
|
||||
| **CRISP (v2)** | 79.8 / 23.2% | 42.1 / −2.5% | 26.2 / 0.1% | 46.7 / 7.0% | 71.4 / 11.4% |
|
||||
| **CRISP (v1)** | 82.1 / 31.6% | 39.2 / 6.3% | 27.1 / 7.1% | 48.3 / 10.2% | 71.7 / 17.6% |
|
||||
|
||||
## Citation
|
||||
|
||||
```bibtex
|
||||
@article{sang2026crisp,
|
||||
title={Crisp: Compressed reasoning via iterative self-policy distillation},
|
||||
author={Sang, Hejian and Xu, Yuanda and Zhou, Zhengze and He, Ran and Wang, Zhipeng and Sun, Jiachen},
|
||||
journal={arXiv preprint arXiv:2603.05433},
|
||||
year={2026}
|
||||
}
|
||||
```
|
||||
1
chat_template.jinja
Normal file
1
chat_template.jinja
Normal file
@@ -0,0 +1 @@
|
||||
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}
|
||||
35
config.json
Normal file
35
config.json
Normal file
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 128001,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"num_key_value_heads": 8,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 8.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.1",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
9
generation_config.json
Normal file
9
generation_config.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": 128001,
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.57.1"
|
||||
}
|
||||
3
model-00001-of-000002.safetensors
Normal file
3
model-00001-of-000002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:40a20b9493f874500f52c2b4eba31f890889d7438237395d4eb4ae9aef552658
|
||||
size 8667826216
|
||||
3
model-00002-of-000002.safetensors
Normal file
3
model-00002-of-000002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2a445c000cd117e4e72a7158d26986a742c8943cef1ca7832517f142f3a1c061
|
||||
size 7392730120
|
||||
298
model.safetensors.index.json
Normal file
298
model.safetensors.index.json
Normal file
@@ -0,0 +1,298 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 16060522496
|
||||
},
|
||||
"weight_map": {
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.30.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.31.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.30.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.28.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.30.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"lm_head.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.29.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.31.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.31.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.28.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.31.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.29.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.28.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.29.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.30.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.28.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.29.input_layernorm.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-000002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00001-of-000002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-000002.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<｜begin▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d91915040cfac999d8c55f4b5bc6e67367c065e3a7a4e4b9438ce1f256addd86
|
||||
size 17209530
|
||||
2066
tokenizer_config.json
Normal file
2066
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user