metadata
library_name: transformers
tags:
- mlx
base_model: TheBlueObserver/Llama-3.2-3B-Instruct-Unsloth-Merged
TheBlueObserver/Llama-3.2-3B-Instruct-Unsloth-Merged-MLX
The Model TheBlueObserver/Llama-3.2-3B-Instruct-Unsloth-Merged-MLX was converted to MLX format from TheBlueObserver/Llama-3.2-3B-Instruct-Unsloth-Merged using mlx-lm version 0.20.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("TheBlueObserver/Llama-3.2-3B-Instruct-Unsloth-Merged-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)