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README.md

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+---
+library_name: transformers
+tags:
+- compression
+- expert-merging
+- moe
+- code
+- mlx
+- mlx-my-repo
+license: apache-2.0
+base_model: bknyaz/Qwen3-Coder-Next-REAM
+---
+
+# TomLucidor/Qwen3-Coder-Next-REAM-mlx-4Bit
+
+The Model [TomLucidor/Qwen3-Coder-Next-REAM-mlx-4Bit](https://huggingface.co/TomLucidor/Qwen3-Coder-Next-REAM-mlx-4Bit) was converted to MLX format from [bknyaz/Qwen3-Coder-Next-REAM](https://huggingface.co/bknyaz/Qwen3-Coder-Next-REAM) using mlx-lm version **0.29.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("TomLucidor/Qwen3-Coder-Next-REAM-mlx-4Bit")
+
+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)
+```