README.md

metadata

library_name: transformers
license: llama3.2
base_model: chrisgru/llama-3.2-3B-r-test
tags:
  - axolotl
  - generated_from_trainer
  - mlx
model-index:
  - name: llama-3.2-3B-r-test
    results: []

chrisgru/llama-3.2-3B-r-test-mlx

The Model chrisgru/llama-3.2-3B-r-test-mlx was converted to MLX format from chrisgru/llama-3.2-3B-r-test using mlx-lm version 0.19.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("chrisgru/llama-3.2-3B-r-test-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)