初始化项目，由ModelHub XC社区提供模型

Model: nightmedia/rStar-Coder-Qwen3-0.6B-bf16-mlx
Source: Original Platform

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+datasets:
+- microsoft/rStar-Coder
+language:
+- en
+base_model: prithivMLmods/rStar-Coder-Qwen3-0.6B
+pipeline_tag: text-generation
+library_name: mlx
+tags:
+- text-generation-inference
+- chain-of-thought
+- trl
+- vllm
+- coder
+- code
+- core
+- python
+- math
+- gspo
+- mlx
+---
+
+# rStar-Coder-Qwen3-0.6B-bf16-mlx
+
+Performance evaluation:
+
+```bash
+21194/21194 [23:40<00:00, 14.92it/s]
+
+arc_challenge
+acc 0.279, norm 0.299, stderr 0.013
+arc_easy
+acc 0.420, norm 0.379, stderr 0.009
+boolq
+acc 0.378, norm 0.378, stderr 0.008
+hellaswag
+acc 0.366, norm 0.434, stderr 0.004
+openbookqa
+acc 0.186, norm 0.344, stderr 0.021
+piqa
+acc 0.656, norm 0.655, stderr 0.014
+winogrande
+acc 0.524, norm 0.524, stderr 0.014
+```
+
+This model [rStar-Coder-Qwen3-0.6B-bf16-mlx](https://huggingface.co/rStar-Coder-Qwen3-0.6B-bf16-mlx) was
+converted to MLX format from [prithivMLmods/rStar-Coder-Qwen3-0.6B](https://huggingface.co/prithivMLmods/rStar-Coder-Qwen3-0.6B)
+using mlx-lm version **0.26.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("rStar-Coder-Qwen3-0.6B-bf16-mlx")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```