---
base_model: huihui-ai/Huihui-HY-MT1.5-7B-abliterated
library_name: mlx
tags:
- translation
- abliterated
- uncensored
- mlx
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
---

# alexgusevski/Huihui-HY-MT1.5-7B-abliterated-q8-mlx

This model [alexgusevski/Huihui-HY-MT1.5-7B-abliterated-q8-mlx](https://huggingface.co/alexgusevski/Huihui-HY-MT1.5-7B-abliterated-q8-mlx) was
converted to MLX format from [huihui-ai/Huihui-HY-MT1.5-7B-abliterated](https://huggingface.co/huihui-ai/Huihui-HY-MT1.5-7B-abliterated)
using mlx-lm version **0.30.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Huihui-HY-MT1.5-7B-abliterated-q8-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, return_dict=False,
    )

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