meta-math/MetaMathQA
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How to use mlx-community/llama-3-youko-8b-instruct-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir llama-3-youko-8b-instruct-4bit-mlx mlx-community/llama-3-youko-8b-instruct-4bit-mlx
The Model mlx-community/llama-3-youko-8b-instruct-4bit-mlx was converted to MLX format from rinna/llama-3-youko-8b-instruct using mlx-lm version 0.21.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/llama-3-youko-8b-instruct-4bit-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
4-bit