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Model: usermma/VibeThinker-3B-mlx-fp16
Source: Original Platform
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---
license: mit
language:
- en
base_model: WeiboAI/VibeThinker-3B
tags:
- math
- code
- reasoning
- gpqa
- instruction-following
- mlx
- mlx-my-repo
pipeline_tag: text-generation
library_name: transformers
---
# usermma/VibeThinker-3B-mlx-fp16
The Model [usermma/VibeThinker-3B-mlx-fp16](https://huggingface.co/usermma/VibeThinker-3B-mlx-fp16) was converted to MLX format from [WeiboAI/VibeThinker-3B](https://huggingface.co/WeiboAI/VibeThinker-3B) using mlx-lm version **0.31.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("usermma/VibeThinker-3B-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)
```