---
inference: false
library_name: transformers
language:
- en
- fr
- de
- es
- it
- pt
- ja
- ko
- zh
- ar
- el
- fa
- pl
- id
- cs
- he
- hi
- nl
- ro
- ru
- tr
- uk
- vi
license: cc-by-nc-4.0
base_model: lenML/aya-expanse-8b-abliterated
tags:
- gguf
- CohereForAI
- mlx
- mlx-my-repo
---

# KYUNGYONG/aya-expanse-8b-abliterated-Q4-mlx

The Model [KYUNGYONG/aya-expanse-8b-abliterated-Q4-mlx](https://huggingface.co/KYUNGYONG/aya-expanse-8b-abliterated-Q4-mlx) was converted to MLX format from [lenML/aya-expanse-8b-abliterated](https://huggingface.co/lenML/aya-expanse-8b-abliterated) using mlx-lm version **0.21.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("KYUNGYONG/aya-expanse-8b-abliterated-Q4-mlx")

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)
```