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Model: DAMO-NLP-SG/Qwen2.5-7B-LongPO-128K Source: Original Platform
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---
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library_name: transformers
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license: apache-2.0
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datasets:
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- DAMO-NLP-SG/Qwen2.5-7B-LongPO-128K-tokenized
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base_model:
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- Qwen/Qwen2.5-7B-Instruct
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---
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# LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
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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".
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<h5 align="left">
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[](http://arxiv.org/abs/2502.13922)
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[](https://huggingface.co/papers/2502.13922)
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</h5>
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## Highlights of LongPO
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- Self-evolving long-context alignment without human/superior LLMs annotations.
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- Extending context length while keeping aligned in one stage.
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- No degradation on short-context capabilities.
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<img width="1031" alt="image" src="https://github.com/user-attachments/assets/84f3c93f-909d-4ef7-a33a-107ca2deec42" />
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## Models and Training Data
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| Models | Base Model | Training Data | # Data Samples |
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| ------------------------------------------------------------ | ------------------------ | ------------------------------------------------------------ | -------------- |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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\* indicates an experimental version (for rebuttal purposes) that may have not been fully tuned or provided with sufficient data to achieve convergence.
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## Evaluation
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### InfiniteBench
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| Model | Train/Claimed Length | En.Sum | En.QA | En.MC | AVG. |
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| ---------------- | -------------------- | ------ | ------ | ------ | ------ |
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| GPT-4-128K | 128K | 14.73 | 22.44 | 67.25 | 34.81 |
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| Qwen2-72B | 128K | 24.32ᵇ | 7.03ᵇ | 72.05ᵇ | 34.47ᵇ |
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| LLaMA 3.1-70B | 128K | 33.55ᵇ | 36.08ᵇ | 69.00ᵇ | 46.21ᵇ |
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| LLaMA 3.1-8B | 128K | 28.06ᵇ | 30.47ᵇ | 58.08ᵇ | 38.87ᵇ |
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| GLM-4-9B | 128K | 14.84ᵇ | 9.51ᵇ | 67.25ᵇ | 30.53ᵇ |
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| GLM-4-9B-1M | 1M | 28.3 | 9.7 | 68.6 | 35.53 |
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| LWM-7B-1M | 1M | 4.33ᵇ | 0.0ᵇ | 3.06ᵇ | 2.46ᵇ |
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| YaRN-Mistral-7B | 128K | 9.09 | 9.55 | 27.95 | 15.53 |
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| Mistral-7B | 32K | 22.13 | 4.93 | 14.41 | 13.82 |
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| - SFT | 128K | 23.44 | 13.45 | 53.21 | 30.03 |
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| - DPO | 128K | 15.21 | 10.34 | 48.14 | 25.56 |
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| - LongPO (iter1) | 128K | 27.05 | 23.51 | 67.25 | 39.27 |
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| - LongPO (iter2) | 256K | 28.16 | 24.43 | 66.35 | 39.65 |
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| - LongPO (iter3) | 512K | 29.10 | 27.85 | 66.67 | 41.21 |
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| Qwen2.5-7B | 128K | 22.89 | 6.08 | 52.4 | 27.12 |
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| - LongPO (iter1) | 128K | 32.06 | 17.32 | 72.05 | 40.48 |
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- Our results are evaluated with greedy decoding.
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- Baseline results marked with ᵇ are evaluated by us, while unmarked baseline results are sourced from their official report.
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### RULER
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| Model | NIAH | VT | AGG | QA | AVG (13 tasks) |
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| ------------------------ | ----- | ----- | ----- | ----- | -------------- |
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| Qwen2.5-7B-Instruct | 82.10 | 80.09 | 74.50 | 54.30 | 76.50 |
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| Qwen2.5-7B-LongPO-128K | 95.82 | 89.71 | 78.67 | 59.40 | 87.11 |
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| Mistral-7B-Instruct-v0.2 | 72.60 | 74.40 | 64.40 | 52.20 | 68.40 |
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| Mistral-7B-LongPO-128K | 96.88 | 96.49 | 71.55 | 64.81 | 88.02 |
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| Mistral-7B-LongPO-256K-EXP | 96.80 | 97.00 | 69.14 | 64.87 | 87.65 |
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| Mistral-7B-LongPO-512K-EXP | 97.28 | 97.48 | 69.22 | 64.92 | 88.00 |
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### Short Context
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| Model | MMLU | ARC-C | Hellaswag | Winogrande | Avg |
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|-------|-------|--------|------------|-------------|-----|
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| Mistral-7B-Instruct-v0.2 | 59.15 | 59.26 | 83.2 | 78.4 | 70.00 |
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| Mistral-7B-LongPO-128K | 59.99 | 59.34 | 82.99 | 78.53 | 70.21 |
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| Mistral-7B-LongPO-256K-EXP | 59.47 | 60.28 | 83.14 | 78.14 | 70.26 |
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| Mistral-7B-LongPO-512K-EXP | 59.51 | 60.58 | 82.87 | 77.66 | 70.16 |
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| Qwen2.5-7B-Instruct | 74.28 | 67.15 | 81.41 | 74.66 | 74.38 |
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| Qwen2.5-7B-LongPO-128K | 73.64 | 65.70 | 80.82 | 74.98 | 73.79 |
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## Citation
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If you find our project useful, hope you can star our repo and cite our paper as follows:
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```
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@inproceedings{
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chen2025longpo,
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title={Long{PO}: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization},
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author={Guanzheng Chen and Xin Li and Michael Shieh and Lidong Bing},
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booktitle={The Thirteenth International Conference on Learning Representations},
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year={2025},
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url={https://openreview.net/forum?id=qTrEq31Shm}
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}
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```
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"_name_or_path": "Qwen2.5-7B-LongPO-128K",
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"architectures": [
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"Qwen2ForCausalLM"
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"attention_dropout": 0.0,
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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|
||||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6ae8594f633daa21dc0e04606279856d0ccb8abb64bb7a5a93e72531fb12b9d9
|
||||||
|
size 11421890
|
||||||
209
tokenizer_config.json
Normal file
209
tokenizer_config.json
Normal file
@@ -0,0 +1,209 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"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 {{- '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
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user