---
library_name: transformers
license: apache-2.0
base_model: open-thoughts/OpenThinker3-7B
tags:
- llama-factory
- full
- generated_from_trainer
- mlx
- mlx-my-repo
datasets:
- open-thoughts/OpenThoughts3-1.2M
model-index:
- name: OpenThinker3-7B
  results: []
---

# mlx-community/OpenThinker3-7B-8bit

The Model [mlx-community/OpenThinker3-7B-8bit](https://huggingface.co/mlx-community/OpenThinker3-7B-8bit) was converted to MLX format from [open-thoughts/OpenThinker3-7B](https://huggingface.co/open-thoughts/OpenThinker3-7B) using mlx-lm version **0.24.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/OpenThinker3-7B-8bit")

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)
```