shisa-v2.1-llama3.3-70b-mlx-8bit

mlx-community/shisa-v2.1-llama3.3-70b-mlx-8bit

The Model mlx-community/shisa-v2.1-llama3.3-70b-mlx-8bit was converted to MLX format from shisa-ai/shisa-v2.1-llama3.3-70b using mlx-lm version 0.28.4.

You can find other similar translation-related MLX model quants for an Apple Mac at https://huggingface.co/bibproj

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/shisa-v2.1-llama3.3-70b-mlx-8bit")

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)