初始化项目，由ModelHub XC社区提供模型
Model: Kwai-Klear/qwen2.5-math-rlep Source: Original Platform
This commit is contained in:
ModelHub XC
51
.gitattributes
vendored
Normal file
51
.gitattributes
vendored
Normal file
@@ -0,0 +1,51 @@
|
|||||||
|
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bz2 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
|
||||||
|
*.model filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.msgpack 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
|
||||||
|
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
saved_model/**/* 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
|
||||||
|
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.db* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ark* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
|
||||||
|
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.gguf* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ggml filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.llamafile* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pt2 filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
|
||||||
|
merges.txt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||||
|
vocab.json filter=lfs diff=lfs merge=lfs -text
|
||||||
104
README.md
Normal file
104
README.md
Normal file
@@ -0,0 +1,104 @@
|
|||||||
|
---
|
||||||
|
license: apache-2.0
|
||||||
|
pipeline_tag: text-generation
|
||||||
|
library_name: transformers
|
||||||
|
datasets:
|
||||||
|
- Kwai-Klear/RLEP_dataset
|
||||||
|
- BytedTsinghua-SIA/DAPO-Math-17k
|
||||||
|
base_model: Qwen/Qwen2.5-Math-7B
|
||||||
|
---
|
||||||
|
|
||||||
|
# RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning
|
||||||
|
|
||||||
|
This repository contains the `qwen2.5-math-rlep` model, which is a key checkpoint from the RLEP training process based on Qwen2.5-Math-7B, as presented in the paper [RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning](https://huggingface.co/papers/2507.07451).
|
||||||
|
|
||||||
|
Reinforcement learning (RL) for large language models is an energy-intensive endeavor: training can be unstable, and the policy may gradually drift away from its pretrained weights. **RLEP** -- Reinforcement Learning with Experience rePlay -- is a two-phase framework that first collects verified trajectories and then replays them during subsequent training. At every update step, the policy is optimized on mini-batches that blend newly generated rollouts with these replayed successes. By replaying high-quality examples, RLEP steers the model away from fruitless exploration, focuses learning on promising reasoning paths, and delivers both faster convergence and stronger final performance.
|
||||||
|
|
||||||
|
[[Paper](https://huggingface.co/papers/2507.07451)] [[Code](https://github.com/Kwai-Klear/RLEP)] [[Checkpoints](https://huggingface.co/Kwai-Klear/qwen2.5-math-rlep)] [[Dataset](https://huggingface.co/datasets/Kwai-Klear/RLEP_dataset)]
|
||||||
|
|
||||||
|
<p align="center">
|
||||||
|
<img src="https://github.com/Kwai-Klear/RLEP/raw/main/image/rlep_method.png" width="85%" alt="RLEP Method Overview">
|
||||||
|
</p>
|
||||||
|
|
||||||
|
## ✨ Key Highlights
|
||||||
|
|
||||||
|
* **Rapid early gains**: On AIME-2024 RLEP hits the baseline’s peak accuracy by step 135 (the baseline needs 380). On AIME-2025 it surpasses the baseline’s best score after only 50 steps.
|
||||||
|
* **Higher final performance**: RLEP ultimately lifts the peak accuracy from 38.2% → 39.9% (AIME-2024), 19.8% → 22.3% (AIME-2025), and 77.0% → 82.2% on AMC-2023 benchmark.
|
||||||
|
|
||||||
|
<p align="center">
|
||||||
|
<img src="https://github.com/Kwai-Klear/RLEP/raw/main/image/exp_acc.png" width="85%" alt="RLEP Experimental Accuracy">
|
||||||
|
</p>
|
||||||
|
|
||||||
|
## 🚀 Quick Start (Inference)
|
||||||
|
|
||||||
|
Here’s a simple example of running inference with vLLM.
|
||||||
|
First, install vLLM (version ≥ 0.7.3):
|
||||||
|
```bash
|
||||||
|
pip3 install vllm
|
||||||
|
```
|
||||||
|
After installation, you can load and run the model in your Python code like this:
|
||||||
|
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
|
||||||
|
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||||
|
from vllm import LLM, SamplingParams
|
||||||
|
|
||||||
|
model_path = 'Kwai-Klear/qwen2.5-math-rlep'
|
||||||
|
sampling_params = SamplingParams(temperature=1.0, top_p=1.0, max_tokens=1024 * 3, n=1)
|
||||||
|
llm = LLM(
|
||||||
|
model=model_path,
|
||||||
|
enforce_eager=False,
|
||||||
|
tensor_parallel_size=1,
|
||||||
|
seed=0,
|
||||||
|
)
|
||||||
|
|
||||||
|
tokenizer = AutoTokenizer.from_pretrained(model_path)
|
||||||
|
question = '''Find the sum of all integer bases $b>9$ for which $17_b$ is a divisor of $97_b.$'''
|
||||||
|
|
||||||
|
prefix="Solve the following math problem step by step. The last line of your response should be of the form Answer: $Answer (without quotes) where $Answer is the answer to the problem.\n\n"
|
||||||
|
post_fix = '\n\nRemember to put your answer on its own line after "Answer:".'
|
||||||
|
question_with_instruct = prefix + question + post_fix # the model is trained with this instruct.
|
||||||
|
messages = [{'content': question_with_instruct, 'role':'user'}]
|
||||||
|
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
||||||
|
|
||||||
|
output =llm.generate([text], sampling_params)[0]
|
||||||
|
answer = output.outputs[0].text
|
||||||
|
|
||||||
|
print(question)
|
||||||
|
print(answer)
|
||||||
|
|
||||||
|
```
|
||||||
|
|
||||||
|
To evaluete the model on benchmarks like AIME-2024, AIME-2025 and AMC-2023 etc. please refer to [our repo](http://github.com/Kwai-Klear/RLEP?tab=readme-ov-file#evaluation).
|
||||||
|
|
||||||
|
## Evaluation Results
|
||||||
|
|
||||||
|
We evaluated the converged RLEP model at 320 training steps and the DAPO-nodyn-bs64 baseline at 400 steps.
|
||||||
|
|
||||||
|
| | AIME-2024 | AIME-2025 | AMC-2023 |
|
||||||
|
|-------------------|-----------|-----------|----------|
|
||||||
|
| DAPO | 32.6 | 18.9 | 77.5 |
|
||||||
|
| DAPO-nodyn-bs64 | 37.4 | 19.4 | 77.3 |
|
||||||
|
| **RLEP** | **38.5** | **21.3** | **83.0** |
|
||||||
|
|
||||||
|
## Citation
|
||||||
|
|
||||||
|
If you find our paper or code helpful, we would appreciate it if you could cite our work:
|
||||||
|
|
||||||
|
```bibtex
|
||||||
|
@misc{zhang2025rlepreinforcementlearningexperience,
|
||||||
|
title={RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning},
|
||||||
|
author={Hongzhi Zhang and Jia Fu and Jingyuan Zhang and Kai Fu and Qi Wang and Fuzheng Zhang and Guorui Zhou},
|
||||||
|
year={2025},
|
||||||
|
eprint={2507.07451},
|
||||||
|
archivePrefix={arXiv},
|
||||||
|
primaryClass={cs.CL},
|
||||||
|
url={https://arxiv.org/abs/2507.07451},
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
## Acknowledgement
|
||||||
|
|
||||||
|
We conducted our experiments with the [VERL](https://github.com/volcengine/verl) framework and the [Qwen2.5-7B-Math](https://huggingface.co/Qwen/Qwen2.5-Math-7B) model, using the dataset and training scripts provided by [DAPO](https://dapo-sia.github.io/).
|
||||||
|
Many thanks to the open-sourced works and the broader community for making these resources available!
|
||||||
24
added_tokens.json
Normal file
24
added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
|||||||
|
{
|
||||||
|
"</tool_call>": 151658,
|
||||||
|
"<tool_call>": 151657,
|
||||||
|
"<|box_end|>": 151649,
|
||||||
|
"<|box_start|>": 151648,
|
||||||
|
"<|endoftext|>": 151643,
|
||||||
|
"<|file_sep|>": 151664,
|
||||||
|
"<|fim_middle|>": 151660,
|
||||||
|
"<|fim_pad|>": 151662,
|
||||||
|
"<|fim_prefix|>": 151659,
|
||||||
|
"<|fim_suffix|>": 151661,
|
||||||
|
"<|im_end|>": 151645,
|
||||||
|
"<|im_start|>": 151644,
|
||||||
|
"<|image_pad|>": 151655,
|
||||||
|
"<|object_ref_end|>": 151647,
|
||||||
|
"<|object_ref_start|>": 151646,
|
||||||
|
"<|quad_end|>": 151651,
|
||||||
|
"<|quad_start|>": 151650,
|
||||||
|
"<|repo_name|>": 151663,
|
||||||
|
"<|video_pad|>": 151656,
|
||||||
|
"<|vision_end|>": 151653,
|
||||||
|
"<|vision_pad|>": 151654,
|
||||||
|
"<|vision_start|>": 151652
|
||||||
|
}
|
||||||
29
config.json
Normal file
29
config.json
Normal file
@@ -0,0 +1,29 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen2ForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"eos_token_id": 151643,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 3584,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 18944,
|
||||||
|
"max_position_embeddings": 13192,
|
||||||
|
"max_window_layers": 28,
|
||||||
|
"model_type": "qwen2",
|
||||||
|
"num_attention_heads": 28,
|
||||||
|
"num_hidden_layers": 28,
|
||||||
|
"num_key_value_heads": 4,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 10000,
|
||||||
|
"sliding_window": 4096,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"torch_dtype": "float32",
|
||||||
|
"transformers_version": "4.51.1",
|
||||||
|
"use_cache": true,
|
||||||
|
"use_mrope": false,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 152064
|
||||||
|
}
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
{
|
||||||
|
"_from_model_config": true,
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"eos_token_id": 151643,
|
||||||
|
"transformers_version": "4.51.1"
|
||||||
|
}
|
||||||
BIN
merges.txt
(Stored with Git LFS)
Normal file
BIN
merges.txt
(Stored with Git LFS)
Normal file
Binary file not shown.
3
model-00001-of-00007.safetensors
Normal file
3
model-00001-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e04afd4cf885be8ede2d153cab6165081d8d18a3c4ad19057c458a4e54894de3
|
||||||
|
size 4976687216
|
||||||
3
model-00002-of-00007.safetensors
Normal file
3
model-00002-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:98ea9e0410342d37ee4390f12e476e423918de33a44c6b6b5103486348416927
|
||||||
|
size 4778622352
|
||||||
3
model-00003-of-00007.safetensors
Normal file
3
model-00003-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6f5ca26156194de225b06f024a1d689491f7aecf584501b1e2e704ea0509823a
|
||||||
|
size 4932743960
|
||||||
3
model-00004-of-00007.safetensors
Normal file
3
model-00004-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:3db411865cf20ca43739b73254ffbc09bfebddb971eb0d638655012500374aa3
|
||||||
|
size 4932743992
|
||||||
3
model-00005-of-00007.safetensors
Normal file
3
model-00005-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:93376db0c950133804f7f58c4325c1823c012d33f7da7817cf9e5811120c8228
|
||||||
|
size 4998852296
|
||||||
3
model-00006-of-00007.safetensors
Normal file
3
model-00006-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e7f2ed35558f58c1fbe667bacf9eb602d37b7c7cdc72509c61b4703f9282bdcc
|
||||||
|
size 3662865184
|
||||||
3
model-00007-of-00007.safetensors
Normal file
3
model-00007-of-00007.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:eeb5db3efdc94b9202805df1fa754192e2e1cd9dd1553ec1364a71ba1a2ade8a
|
||||||
|
size 2179989632
|
||||||
346
model.safetensors.index.json
Normal file
346
model.safetensors.index.json
Normal file
@@ -0,0 +1,346 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"total_size": 30462466048
|
||||||
|
},
|
||||||
|
"weight_map": {
|
||||||
|
"lm_head.weight": "model-00007-of-00007.safetensors",
|
||||||
|
"model.embed_tokens.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
||||||
|
"model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
||||||
|
"model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
||||||
|
"model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
||||||
|
"model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||||
|
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||||
|
"model.norm.weight": "model-00006-of-00007.safetensors"
|
||||||
|
}
|
||||||
|
}
|
||||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"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 sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||||
|
size 11421896
|
||||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": false,
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<|box_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "<|box_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
"content": "<|quad_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
"content": "<|quad_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
"content": "<|vision_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
"content": "<|vision_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151655": {
|
||||||
|
"content": "<|image_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'Please reason step by step, and put your final answer within \\\\boxed{}.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nPlease reason step by step, and put your final answer within \\\\boxed{}.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|endoftext|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user