| library_name: transformers | |
| license: apache-2.0 | |
| base_model: open-thoughts/OpenThinker2-32B | |
| tags: | |
| - llama-factory | |
| - full | |
| - generated_from_trainer | |
| - mlx | |
| - mlx-my-repo | |
| datasets: | |
| - open-thoughts/OpenThoughts2-1M | |
| model-index: | |
| - name: OpenThinker2-32B | |
| results: [] | |
| # alexgusevski/OpenThinker2-32B-mlx-fp16 | |
| The Model [alexgusevski/OpenThinker2-32B-mlx-fp16](https://huggingface.co/alexgusevski/OpenThinker2-32B-mlx-fp16) was converted to MLX format from [open-thoughts/OpenThinker2-32B](https://huggingface.co/open-thoughts/OpenThinker2-32B) using mlx-lm version **0.22.1**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("alexgusevski/OpenThinker2-32B-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) | |
| ``` | |