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/math-phi-v1")

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

math-phi-v1

This model was converted to MLX format from microsoft/phi-2. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/math-phi-v1 --prompt "My name is"
Downloads last month
57
Safetensors
Model size
3B params
Tensor type
F16
ยท
U32
ยท
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