README.md

---
license: cc-by-nc-nd-4.0
tags:
- generated_from_trainer
- mlx
datasets:
- jondurbin/bagel-v0.3
library_name: transformers
base_model: fblgit/UNA-TheBeagle-7b-v1
model-index:
- name: UNA-TheBeagle-7b-v1
  results: []
---

# morgul/UNA-TheBeagle-7b-v1-Q8-mlx

The Model [morgul/UNA-TheBeagle-7b-v1-Q8-mlx](https://huggingface.co/morgul/UNA-TheBeagle-7b-v1-Q8-mlx) was converted to MLX format from [fblgit/UNA-TheBeagle-7b-v1](https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1) using mlx-lm version **0.19.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("morgul/UNA-TheBeagle-7b-v1-Q8-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)
```