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README.md

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+---
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
+tags:
+- mlx
+---
+
+# cs2764/Qwen3-Coder-30B-A3B-Instruct-mlx-mixed_3_6
+
+The Model [cs2764/Qwen3-Coder-30B-A3B-Instruct-mlx-mixed_3_6](https://huggingface.co/cs2764/Qwen3-Coder-30B-A3B-Instruct-mlx-mixed_3_6) was converted to MLX format from [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) using mlx-lm version **0.26.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("cs2764/Qwen3-Coder-30B-A3B-Instruct-mlx-mixed_3_6")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```