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---
datasets:
- PowerInfer/QWQ-LONGCOT-500K
- PowerInfer/LONGCOT-Refine-500K
base_model: PowerInfer/SmallThinker-3B-Preview
pipeline_tag: text-generation
language:
- en
library_name: transformers
tags:
- mlx
---
# mlx-community/smallthinker-3b-preview-q4
The Model [mlx-community/smallthinker-3b-preview-q4](https://huggingface.co/mlx-community/smallthinker-3b-preview-q4) was
converted to MLX format from [PowerInfer/SmallThinker-3B-Preview](https://huggingface.co/PowerInfer/SmallThinker-3B-Preview)
using mlx-lm version **0.20.5**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/smallthinker-3b-preview-q4")
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)
```
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