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Add transformers as library! (#1)
- Add transformers as library! (cc1ce1debef18f3a714143d45c50a15893dd2dff) Co-authored-by: Vaibhav Srivastav <reach-vb@users.noreply.huggingface.co>
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29
README.md
29
README.md
@ -7,6 +7,7 @@ pipeline_tag: text-generation
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base_model: Qwen/Qwen2.5-32B
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tags:
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- chat
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library_name: transformers
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---
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# QwQ-32B
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@ -19,6 +20,11 @@ tags:
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QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.
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<p align="center">
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<img width="100%" src="figures/benchmark.jpg">
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</p>
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**This repo contains the QwQ 32B model**, which has the following features:
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- Type: Causal Language Models
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- Training Stage: Pretraining & Post-training (Supervised Finetuning and Reinforcement Learning)
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@ -31,11 +37,13 @@ QwQ is the reasoning model of the Qwen series. Compared with conventional instru
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**Note:** For the best experience, please review the [usage guidelines](#usage-guidelines) before deploying QwQ models.
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For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2.5/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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You can try our [demo](https://huggingface.co/spaces/Qwen/QwQ-32B-Demo) or access QwQ models via [QwenChat](https://chat.qwen.ai).
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For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwq-32b/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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## Requirements
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The code of Qwen2.5 has been in the latest Hugging face `transformers` and we advise you to use the latest version of `transformers`.
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QwQ is based on Qwen2.5, whose code has been in the latest Hugging face `transformers`. We advise you to use the latest version of `transformers`.
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With `transformers<4.37.0`, you will encounter the following error:
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```
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@ -89,9 +97,8 @@ To achieve optimal performance, we recommend the following settings:
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1. **Enforce Thoughtful Output**: Ensure the model starts with "\<think\>\n" to prevent generating empty thinking content, which can degrade output quality. If you use `apply_chat_template` and set `add_generation_prompt=True`, this is already automatically implemented, but it may cause the response to lack the \<think\> tag at the beginning. This is normal behavior.
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2. **Sampling Parameters**:
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- Use Temperature=0.6 and TopP=0.95 instead of Greedy decoding to avoid endless repetitions and enhance diversity.
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- For complex reasoning tasks like math or coding, set TopK=40.
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- For other types of questions, use TopK=20.
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- Use Temperature=0.6 and TopP=0.95 instead of Greedy decoding to avoid endless repetitions.
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- Use TopK between 20 and 40 to filter out rare token occurrences while maintaining the diversity of the generated output.
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3. **Standardize Output Format**: We recommend using prompts to standardize model outputs when benchmarking.
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- **Math Problems**: Include "Please reason step by step, and put your final answer within \boxed{}." in the prompt.
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@ -117,7 +124,7 @@ We advise adding the `rope_scaling` configuration only when processing long cont
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## Evaluation & Performance
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Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwen2.5/).
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Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwq-32b/).
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For requirements on GPU memory and the respective throughput, see results [here](https://qwen.readthedocs.io/en/latest/benchmark/speed_benchmark.html).
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@ -126,12 +133,12 @@ For requirements on GPU memory and the respective throughput, see results [here]
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If you find our work helpful, feel free to give us a cite.
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```
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@misc{qwen2.5,
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title = {Qwen2.5: A Party of Foundation Models},
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url = {https://qwenlm.github.io/blog/qwen2.5/},
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@misc{qwq32b,
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title = {QwQ-32B: The Power of Scaling RL},
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url = {https://qwenlm.github.io/blog/qwq-32b/},
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author = {Qwen Team},
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month = {September},
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year = {2024}
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month = {March},
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year = {2025}
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}
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@article{qwen2,
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@ -24,4 +24,4 @@
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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}
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@ -6,9 +6,9 @@
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"repetition_penalty": 1.0,
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"temperature": 0.6,
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"top_k": 40,
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"top_p": 0.95,
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"transformers_version": "4.45.2"
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}
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