README.md

---
base_model: AtlaAI/Selene-1-Mini-Llama-3.1-8B
library_name: transformers
language:
- en
- de
- fr
- it
- pt
- es
pipeline_tag: text-generation
tags:
- llama
- atla
- evaluation
- llm-as-a-judge
- meta
- conversational
- lm-judge
- mlx
license: apache-2.0
---

# alexgusevski/Selene-1-Mini-Llama-3.1-8B-q8-mlx

The Model [alexgusevski/Selene-1-Mini-Llama-3.1-8B-q8-mlx](https://huggingface.co/alexgusevski/Selene-1-Mini-Llama-3.1-8B-q8-mlx) was
converted to MLX format from [AtlaAI/Selene-1-Mini-Llama-3.1-8B](https://huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B)
using mlx-lm version **0.21.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Selene-1-Mini-Llama-3.1-8B-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
    )

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