How to use from the
Use from the
MLX library
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm
# if on a CUDA device, also pip install mlx[cuda]

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/phi-1_5")

prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)

mlx-community/phi-1_5

The Model mlx-community/phi-1_5 was converted to MLX format from microsoft/phi-1_5 using mlx-lm version 0.16.1.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/phi-1_5")
response = generate(model, tokenizer, prompt="hello", verbose=True)
Downloads last month
11
MLX
Hardware compatibility
Log In to add your hardware

Quantized

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support