初始化项目，由ModelHub XC社区提供模型

Model: kangdawei/DAPO-8B
Source: Original Platform

README.md

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+---
+base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+datasets: knoveleng/open-rs
+library_name: transformers
+model_name: DAPO-8B
+tags:
+- generated_from_trainer
+- open-r1
+- dapo
+- trl
+licence: license
+---
+
+# Model Card for DAPO-8B
+
+This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) on the [knoveleng/open-rs](https://huggingface.co/datasets/knoveleng/open-rs) dataset.
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="kangdawei/DAPO-8B", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+ 
+
+
+This model was trained with DAPO, a method introduced in [DAPO: An Open-Source LLM Reinforcement Learning System at Scale](https://huggingface.co/papers/2503.14476).
+
+### Framework versions
+
+- TRL: 0.16.0.dev0
+- Transformers: 4.57.1
+- Pytorch: 2.5.1
+- Datasets: 3.2.0
+- Tokenizers: 0.22.1
+
+## Citations
+
+Cite DAPO as:
+
+```bibtex
+@article{yu2025dapo,
+    title        = {{DAPO: An Open-Source LLM Reinforcement Learning System at Scale}},
+    author       = {Qiying Yu and Zheng Zhang and others},
+    year         = 2025,
+    eprint       = {arXiv:2503.14476},
+}
+
+```
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```