README.md

---
license_link: https://huggingface.co/tencent/Tencent-Hunyuan-Large/blob/main/LICENSE.txt
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
base_model: tencent-community/Hunyuan-A52B-Instruct
---

# mlx-community/Hunyuan-A52B-Instruct-3bit

The Model [mlx-community/Hunyuan-A52B-Instruct-3bit](https://huggingface.co/mlx-community/Hunyuan-A52B-Instruct-3bit) was
converted to MLX format from [tencent-community/Hunyuan-A52B-Instruct](https://huggingface.co/tencent-community/Hunyuan-A52B-Instruct)
using mlx-lm version **0.19.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Hunyuan-A52B-Instruct-3bit")

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)
```