Llama 3.2
Collection
Meta goes small with Llama3.2, both text only 1B and 3B, and the 11B Vision models.
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15 items
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Updated
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10
The Model mlx-community/Llama-3.2-1B-Instruct-4bit was converted to MLX format from meta-llama/Llama-3.2-1B-Instruct using mlx-lm version 0.18.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Llama-3.2-1B-Instruct-4bit")
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
meta-llama/Llama-3.2-1B-Instruct