MLX
Safetensors
English
phi3
custom_code
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 sum-small-unquantized mlx-community/sum-small-unquantized

mlx-community/sum-small-unquantized

The Model mlx-community/sum-small-unquantized was converted to MLX format from omi-health/sum-small using mlx-lm version 0.13.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/sum-small-unquantized")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Dataset used to train mlx-community/sum-small-unquantized