MLX-VLM a package for running Vision LLMs on your Mac using MLX.
The easiest way to get started is to install the mlx-vlm package:
With pip:
pip install mlx-vlmCLI
python -m mlx_vlm.generate --model qnguyen3/nanoLLaVA --max-tokens 100 --temp 0.0Chat UI with Gradio
python -m mlx_vlm.chat_ui --model qnguyen3/nanoLLaVAScript
import mlx.core as mx
from mlx_vlm import load, generate
model_path = "mlx-community/llava-1.5-7b-4bit"
model, processor = load(model_path)
prompt = processor.tokenizer.apply_chat_template(
[{"role": "user", "content": f"<image>\nWhat are these?"}],
tokenize=False,
add_generation_prompt=True,
)
output = generate(model, processor, "http://images.cocodataset.org/val2017/000000039769.jpg", prompt, verbose=False)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent