README.md

metadata

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-q3-mlx

The Model alexgusevski/Selene-1-Mini-Llama-3.1-8B-q3-mlx was converted to MLX format from AtlaAI/Selene-1-Mini-Llama-3.1-8B using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Selene-1-Mini-Llama-3.1-8B-q3-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)