| 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 | |
| # ubaitur5/SmallThinker-3B-Preview-Q4-mlx | |
| The Model [ubaitur5/SmallThinker-3B-Preview-Q4-mlx](https://huggingface.co/ubaitur5/SmallThinker-3B-Preview-Q4-mlx) 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("ubaitur5/SmallThinker-3B-Preview-Q4-mlx") | |
| 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) | |
| ``` | |