初始化项目，由ModelHub XC社区提供模型

Model: Neelectric/Llama-3.1-8B-Instruct_SFT_mathfisher_v00.05
Source: Original Platform

README.md

@@ -0,0 +1,60 @@
+---
+base_model: meta-llama/Llama-3.1-8B-Instruct
+datasets: Neelectric/OpenR1-Math-220k_all_Llama3_4096toks
+library_name: transformers
+model_name: Llama-3.1-8B-Instruct_SFT_mathfisher_v00.05
+tags:
+- generated_from_trainer
+- sft
+- trl
+- open-r1
+licence: license
+---
+
+# Model Card for Llama-3.1-8B-Instruct_SFT_mathfisher_v00.05
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the [Neelectric/OpenR1-Math-220k_all_Llama3_4096toks](https://huggingface.co/datasets/Neelectric/OpenR1-Math-220k_all_Llama3_4096toks) 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="Neelectric/Llama-3.1-8B-Instruct_SFT_mathfisher_v00.05", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/neelectric/open-r1_math/runs/4krdbtj9) 
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 1.1.0.dev0
+- Transformers: 4.57.6
+- Pytorch: 2.9.0
+- Datasets: 4.8.5
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@software{vonwerra2020trl,
+  title   = {{TRL: Transformers Reinforcement Learning}},
+  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+  license = {Apache-2.0},
+  url     = {https://github.com/huggingface/trl},
+  year    = {2020}
+}
+```