README.md

---
library_name: transformers
license: apache-2.0
base_model: open-thoughts/OpenThinker-32B
tags:
- llama-factory
- full
- generated_from_trainer
- mlx
- mlx-my-repo
datasets:
- open-thoughts/open-thoughts-114k
model-index:
- name: OpenThinker-32B
  results: []
---

# tmayse/OpenThinker-32B-Q4-mlx

The Model [tmayse/OpenThinker-32B-Q4-mlx](https://huggingface.co/tmayse/OpenThinker-32B-Q4-mlx) was converted to MLX format from [open-thoughts/OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B) 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("tmayse/OpenThinker-32B-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)
```