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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + Copyright 2024 Alibaba Cloud + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + http://www.apache.org/licenses/LICENSE-2.0 + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. \ No newline at end of file diff --git a/README.md b/README.md index ddddcfe..49c2c79 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,7 @@ pipeline_tag: text-generation base_model: Qwen/Qwen2.5-32B tags: - chat +library_name: transformers --- # QwQ-32B @@ -19,6 +20,11 @@ tags: 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. +

+ +

+ + **This repo contains the QwQ 32B model**, which has the following features: - Type: Causal Language Models - Training Stage: Pretraining & Post-training (Supervised Finetuning and Reinforcement Learning) @@ -31,11 +37,13 @@ QwQ is the reasoning model of the Qwen series. Compared with conventional instru **Note:** For the best experience, please review the [usage guidelines](#usage-guidelines) before deploying QwQ models. -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/). +You can try our [demo](https://huggingface.co/spaces/Qwen/QwQ-32B-Demo) or access QwQ models via [QwenChat](https://chat.qwen.ai). + +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/). ## Requirements -The code of Qwen2.5 has been in the latest Hugging face `transformers` and we advise you to use the latest version of `transformers`. +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`. With `transformers<4.37.0`, you will encounter the following error: ``` @@ -89,9 +97,8 @@ To achieve optimal performance, we recommend the following settings: 1. **Enforce Thoughtful Output**: Ensure the model starts with "\\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 \ tag at the beginning. This is normal behavior. 2. **Sampling Parameters**: - - Use Temperature=0.6 and TopP=0.95 instead of Greedy decoding to avoid endless repetitions and enhance diversity. - - For complex reasoning tasks like math or coding, set TopK=40. - - For other types of questions, use TopK=20. + - Use Temperature=0.6 and TopP=0.95 instead of Greedy decoding to avoid endless repetitions. + - Use TopK between 20 and 40 to filter out rare token occurrences while maintaining the diversity of the generated output. 3. **Standardize Output Format**: We recommend using prompts to standardize model outputs when benchmarking. - **Math Problems**: Include "Please reason step by step, and put your final answer within \boxed{}." in the prompt. @@ -117,7 +124,7 @@ We advise adding the `rope_scaling` configuration only when processing long cont ## Evaluation & Performance -Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwen2.5/). +Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwq-32b/). For requirements on GPU memory and the respective throughput, see results [here](https://qwen.readthedocs.io/en/latest/benchmark/speed_benchmark.html). @@ -126,12 +133,12 @@ For requirements on GPU memory and the respective throughput, see results [here] If you find our work helpful, feel free to give us a cite. ``` -@misc{qwen2.5, - title = {Qwen2.5: A Party of Foundation Models}, - url = {https://qwenlm.github.io/blog/qwen2.5/}, +@misc{qwq32b, + title = {QwQ-32B: The Power of Scaling RL}, + url = {https://qwenlm.github.io/blog/qwq-32b/}, author = {Qwen Team}, - month = {September}, - year = {2024} + month = {March}, + year = {2025} } @article{qwen2, diff --git a/config.json b/config.json index 315d9c2..bd2c12d 100644 --- a/config.json +++ b/config.json @@ -24,4 +24,4 @@ "use_cache": true, "use_sliding_window": false, "vocab_size": 152064 -} \ No newline at end of file +} diff --git a/figures/benchmark.jpg b/figures/benchmark.jpg new file mode 100644 index 0000000..570b81d Binary files /dev/null and b/figures/benchmark.jpg differ diff --git a/generation_config.json b/generation_config.json index f237e17..d6b150a 100644 --- a/generation_config.json +++ b/generation_config.json @@ -6,9 +6,9 @@ 151643 ], "pad_token_id": 151643, - "repetition_penalty": 1.05, - "temperature": 0.7, - "top_k": 20, - "top_p": 0.8, + "repetition_penalty": 1.0, + "temperature": 0.6, + "top_k": 40, + "top_p": 0.95, "transformers_version": "4.45.2" } diff --git a/tokenizer.json b/tokenizer.json index cd71f61..bdbc67a 100644 --- a/tokenizer.json +++ b/tokenizer.json @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4 -size 11422654 +oid sha256:c0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539 +size 7031645