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Model: DAMO-NLP-SG/Qwen2.5-7B-LongPO-128K
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---
library_name: transformers
license: apache-2.0
datasets:
- DAMO-NLP-SG/Qwen2.5-7B-LongPO-128K-tokenized
base_model:
- Qwen/Qwen2.5-7B-Instruct
---
# LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
This repo provides the checkpoint of Qwen2.5-7B-LongPO-128K in our paper "LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization".
<h5 align="left">
[![arXiv](https://img.shields.io/badge/Arxiv-2502.13922-AD1C18.svg?logo=arXiv)](http://arxiv.org/abs/2502.13922)
[![hf_paper](https://img.shields.io/badge/🤗-HF%20Daily-red.svg)](https://huggingface.co/papers/2502.13922)
</h5>
## Highlights of LongPO
- Self-evolving long-context alignment without human/superior LLMs annotations.
- Extending context length while keeping aligned in one stage.
- No degradation on short-context capabilities.
<img width="1031" alt="image" src="https://github.com/user-attachments/assets/84f3c93f-909d-4ef7-a33a-107ca2deec42" />
## Models and Training Data
| Models | Base Model | Training Data | # Data Samples |
| ------------------------------------------------------------ | ------------------------ | ------------------------------------------------------------ | -------------- |
| [Mistral-7B-LongPO-128K](https://huggingface.co/DAMO-NLP-SG/Mistral-7B-LongPO-128K) | Mistral-7B-Instruct-v0.2 | [HF Link](https://huggingface.co/datasets/DAMO-NLP-SG/Mistral-7B-LongPO-128K-tokenized) | 45K |
| [Qwen2.5-7B-LongPO-128K](https://huggingface.co/DAMO-NLP-SG/Qwen2.5-7B-LongPO-128K) | Qwen2.5-7B-Instruct | [HF Link](https://huggingface.co/datasets/DAMO-NLP-SG/Qwen2.5-7B-LongPO-128K-tokenized) | 32K |
| [Mistral-7B-LongPO-256K-EXP](https://huggingface.co/DAMO-NLP-SG/Mistral-7B-LongPO-256K-EXP)* | Mistral-7B-LongPO-128K | [HF Link](https://huggingface.co/datasets/DAMO-NLP-SG/Mistral-7B-LongPO-256K-tokenized) | 16K |
| [Mistral-7B-LongPO-512K-EXP](https://huggingface.co/DAMO-NLP-SG/Mistral-7B-LongPO-512K-EXP)* | Mistral-7B-LongPO-128K | [HF Link](https://huggingface.co/datasets/DAMO-NLP-SG/Mistral-7B-LongPO-512K-tokenized) | 2.5K |
\* indicates an experimental version (for rebuttal purposes) that may have not been fully tuned or provided with sufficient data to achieve convergence.
## Evaluation
### InfiniteBench
| Model | Train/Claimed Length | En.Sum | En.QA | En.MC | AVG. |
| ---------------- | -------------------- | ------ | ------ | ------ | ------ |
| GPT-4-128K | 128K | 14.73 | 22.44 | 67.25 | 34.81 |
| Qwen2-72B | 128K | 24.32ᵇ | 7.03ᵇ | 72.05ᵇ | 34.47ᵇ |
| LLaMA 3.1-70B | 128K | 33.55ᵇ | 36.08ᵇ | 69.00ᵇ | 46.21ᵇ |
| LLaMA 3.1-8B | 128K | 28.06ᵇ | 30.47ᵇ | 58.08ᵇ | 38.87ᵇ |
| GLM-4-9B | 128K | 14.84ᵇ | 9.51ᵇ | 67.25ᵇ | 30.53ᵇ |
| GLM-4-9B-1M | 1M | 28.3 | 9.7 | 68.6 | 35.53 |
| LWM-7B-1M | 1M | 4.33ᵇ | 0.0ᵇ | 3.06ᵇ | 2.46ᵇ |
| YaRN-Mistral-7B | 128K | 9.09 | 9.55 | 27.95 | 15.53 |
| Mistral-7B | 32K | 22.13 | 4.93 | 14.41 | 13.82 |
| - SFT | 128K | 23.44 | 13.45 | 53.21 | 30.03 |
| - DPO | 128K | 15.21 | 10.34 | 48.14 | 25.56 |
| - LongPO (iter1) | 128K | 27.05 | 23.51 | 67.25 | 39.27 |
| - LongPO (iter2) | 256K | 28.16 | 24.43 | 66.35 | 39.65 |
| - LongPO (iter3) | 512K | 29.10 | 27.85 | 66.67 | 41.21 |
| Qwen2.5-7B | 128K | 22.89 | 6.08 | 52.4 | 27.12 |
| - LongPO (iter1) | 128K | 32.06 | 17.32 | 72.05 | 40.48 |
- Our results are evaluated with greedy decoding.
- Baseline results marked with ᵇ are evaluated by us, while unmarked baseline results are sourced from their official report.
### RULER
| Model | NIAH | VT | AGG | QA | AVG (13 tasks) |
| ------------------------ | ----- | ----- | ----- | ----- | -------------- |
| Qwen2.5-7B-Instruct | 82.10 | 80.09 | 74.50 | 54.30 | 76.50 |
| Qwen2.5-7B-LongPO-128K | 95.82 | 89.71 | 78.67 | 59.40 | 87.11 |
| Mistral-7B-Instruct-v0.2 | 72.60 | 74.40 | 64.40 | 52.20 | 68.40 |
| Mistral-7B-LongPO-128K | 96.88 | 96.49 | 71.55 | 64.81 | 88.02 |
| Mistral-7B-LongPO-256K-EXP | 96.80 | 97.00 | 69.14 | 64.87 | 87.65 |
| Mistral-7B-LongPO-512K-EXP | 97.28 | 97.48 | 69.22 | 64.92 | 88.00 |
### Short Context
| Model | MMLU | ARC-C | Hellaswag | Winogrande | Avg |
|-------|-------|--------|------------|-------------|-----|
| Mistral-7B-Instruct-v0.2 | 59.15 | 59.26 | 83.2 | 78.4 | 70.00 |
| Mistral-7B-LongPO-128K | 59.99 | 59.34 | 82.99 | 78.53 | 70.21 |
| Mistral-7B-LongPO-256K-EXP | 59.47 | 60.28 | 83.14 | 78.14 | 70.26 |
| Mistral-7B-LongPO-512K-EXP | 59.51 | 60.58 | 82.87 | 77.66 | 70.16 |
| Qwen2.5-7B-Instruct | 74.28 | 67.15 | 81.41 | 74.66 | 74.38 |
| Qwen2.5-7B-LongPO-128K | 73.64 | 65.70 | 80.82 | 74.98 | 73.79 |
## Citation
If you find our project useful, hope you can star our repo and cite our paper as follows:
```
@inproceedings{
chen2025longpo,
title={Long{PO}: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization},
author={Guanzheng Chen and Xin Li and Michael Shieh and Lidong Bing},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=qTrEq31Shm}
}
```

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31
special_tokens_map.json Normal file
View File

@@ -0,0 +1,31 @@
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{
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
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"content": "<|endoftext|>",
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"special": true
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},
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"content": "<|fim_prefix|>",
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}
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],
"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 {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\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\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|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": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
"model_max_length": 132096,
"pad_token": "<|endoftext|>",
"padding_side": "right",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

1
vocab.json Normal file

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