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README.md

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+---
+license: mit
+language:
+- en
+base_model: WeiboAI/VibeThinker-1.5B
+tags:
+- math
+- code
+- gpqa
+- mlx
+- mlx-my-repo
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# ncls-p/VibeThinker-1.5B-mlx-6Bit
+
+The Model [ncls-p/VibeThinker-1.5B-mlx-6Bit](https://huggingface.co/ncls-p/VibeThinker-1.5B-mlx-6Bit) was converted to MLX format from [WeiboAI/VibeThinker-1.5B](https://huggingface.co/WeiboAI/VibeThinker-1.5B) 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("ncls-p/VibeThinker-1.5B-mlx-6Bit")
+
+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)
+```