---
library_name: mlx
tags:
- translation
- mlx
- mlx
- mlx-my-repo
language:
- zh
- en
- fr
- pt
- es
- ja
- tr
- ru
- ar
- ko
- th
- it
- de
- vi
- ms
- id
- tl
- hi
- pl
- cs
- nl
- km
- my
- fa
- gu
- ur
- te
- mr
- he
- bn
- ta
- uk
- bo
- kk
- mn
- ug
pipeline_tag: text-generation
base_model: shawizir/Hunyuan-MT-7B-mlx-4bit
---

# introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit

The Model [introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit](https://huggingface.co/introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit) was converted to MLX format from [shawizir/Hunyuan-MT-7B-mlx-4bit](https://huggingface.co/shawizir/Hunyuan-MT-7B-mlx-4bit) using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("introvoyz041/Hunyuan-MT-7B-mlx-4bit-mlx-4Bit")

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)
```