How to use from the
Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir Octopus-v2-4bit mlx-community/Octopus-v2-4bit

mlx-community/Octopus-v2-4bit

This model was converted to MLX format from NexaAIDev/Octopus-v2 using mlx-lm version 0.7.0. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Octopus-v2-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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