How to use from the
Use from the
MLX library
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

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

model, tokenizer = load("mlx-community/Phi-3.5-vision-instruct-bf16")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

mlx-community/Phi-3.5-vision-instruct-bf16

This model was converted to MLX format from microsoft/Phi-3.5-vision-instruct using mlx-vlm version 0.0.13. Refer to the original model card for more details on the model.

Use with mlx

pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/Phi-3.5-vision-instruct-bf16 --max-tokens 100 --temp 0.0
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