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---
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)
```
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