jondurbin/airoboros-gpt4-1.4
Preview • Updated • 135 • 17
How to use mlx-community/airoboros-33b-gpt4-1.4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir airoboros-33b-gpt4-1.4 mlx-community/airoboros-33b-gpt4-1.4
The Model mlx-community/airoboros-33b-gpt4-1.4 was converted to MLX format from jondurbin/airoboros-33b-gpt4-1.4 using mlx-lm version 0.19.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/airoboros-33b-gpt4-1.4")
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)
8-bit
Base model
jondurbin/airoboros-33b-gpt4-1.4