Here, we provide AWQ-quantized versions of the most popular NVILA models. These files help you seamlessly deploy TinyChat to unlock the full potential of NVILA and your hardware.
One-command demo to chat with quantized NVILA models via
llm-awq (NVILA-8B as an example):
1cd llm-awq/tinychat
2python nvila_demo.py --model-path PATH/TO/NVILA \
3 --quant_path NVILA-8B-w4-g128-awq-v2.pt \
4 --media PATH/TO/ANY/IMAGES/VIDEOS \
5 --act_scale_path NVILA-8B-VT-smooth-scale.pt \
6 --all --chunk --model_type nvila
This command will download the quantized NVILA model and run a chat demo. If you’ve already downloaded the files, simply set the path to your local copies.
