README.md

metadata

base_model: unsloth/Llama-3.3-70B-Instruct
language:
  - en
library_name: transformers
license: llama3.3
tags:
  - llama-3
  - llama
  - meta
  - facebook
  - unsloth
  - transformers
  - pytorch
  - mlx
  - mlx-my-repo

cnfusion/Llama-3.3-70B-Instruct-Q2-mlx

The Model cnfusion/Llama-3.3-70B-Instruct-Q2-mlx was converted to MLX format from unsloth/Llama-3.3-70B-Instruct using mlx-lm version 0.19.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("cnfusion/Llama-3.3-70B-Instruct-Q2-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)