mlx-community/Llama3.1-Aloe-Beta-8B

The Model mlx-community/Llama3.1-Aloe-Beta-8B was converted to MLX format from HPAI-BSC/Llama3.1-Aloe-Beta-8B using mlx-lm version 0.20.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Llama3.1-Aloe-Beta-8B")

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)

Base model