---
license: mit
tags:
- mlx
pipeline_tag: text-generation
library_name: mlx
base_model: FR3E-Bytedance/FR3E-Math-7B
---

# FR3E-Math-7B-dwq6-mlx

This model [FR3E-Math-7B-dwq6-mlx](https://huggingface.co/FR3E-Math-7B-dwq6-mlx) was
converted to MLX format from [FR3E-Bytedance/FR3E-Math-7B](https://huggingface.co/FR3E-Bytedance/FR3E-Math-7B)
using mlx-lm version **0.26.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("FR3E-Math-7B-dwq6-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```