- run ai examples on jetson.
- all you need is
reComputer
.
pip install reComputer
To run and chat with LLaVA:
reComputer run llava
reComputer supports a list of examples from jetson-ai-lab
Here are some examples that can be run:
Example | Type | Model/Data Size | Image Size | Command |
---|---|---|---|---|
text-generation-webui | Text (LLM) | 3.9GB | 14.8GB | reComputer run text-generation-webui |
LLaVA | Text + Vision (VLM) | 13GB | 14.4GB | reComputer run llava |
stable-diffusion-webui | Image Generation | 3.97G | 7.3GB | reComputer run stable-diffusion-webui |
nanoowl | Vision Transformers(ViT) | 613MB | 15.1GB | reComputer run nanoowl |
nanodb | Vector Database | 76GB | 7.0GB | reComputer run nanodb |
whisper | Audio | 1.5GB | 6.0GB | reComputer run whisper |
Note: You should have enough space to run example, like
LLaVA
, at least27.4GB
totally
More Examples can be found examples.md
- check disk space enough or not before run
- allow to setting some configs, such as
BASE_PATH
- detect host environment and install what we need
- support jetson-containers update
- all type jetson support checking list
- better table to show example's difference
- try jetpack 6.0