README.md

---
license: cc-by-nc-4.0
language:
- en
pipeline_tag: text-generation
tags:
- nvidia
- AceMath
- math
- CoT
- pytorch
- mlx
- mlx-my-repo
base_model: nvidia/AceMath-7B-Instruct
---

# tslim1/AceMath-7B-Instruct-mlx-8Bit

The Model [tslim1/AceMath-7B-Instruct-mlx-8Bit](https://huggingface.co/tslim1/AceMath-7B-Instruct-mlx-8Bit) was converted to MLX format from [nvidia/AceMath-7B-Instruct](https://huggingface.co/nvidia/AceMath-7B-Instruct) using mlx-lm version **0.26.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("tslim1/AceMath-7B-Instruct-mlx-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)
```