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README.md

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+---
+license: apache-2.0
+base_model: BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32
+tags:
+- causal-lm
+- moe
+- mixture-of-experts
+- qwen
+- distillation
+- svd
+- lora-merged
+- code-generation
+- mlx
+- mlx-my-repo
+---
+
+# YOYO-AI/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16
+
+The Model [YOYO-AI/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16](https://huggingface.co/YOYO-AI/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16) was converted to MLX format from [BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32](https://huggingface.co/BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32) using mlx-lm version **0.26.4**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("YOYO-AI/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16")
+
+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)
+```