Instructions to use harvestsu/qwen3-edgellm-jetson-artifacts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use harvestsu/qwen3-edgellm-jetson-artifacts with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Qwen3 EdgeLLM Jetson Artifacts
This private model repository stores generated Qwen3 ASR/TTS artifacts for Jetson Voice deployments.
Code repository: https://github.com/suharvest/qwen3-edgellm-jetson
Product repository: jetson-voice
Layout
The canonical required layout is recorded in deploy/artifacts/qwen3_manifest.json.
Expected artifact families:
engines/orin-nano/highperf/...engines/orin-nx/highperf/...engines/orin-nano/official/...tts/talker/...tts/tokenizer/...
Large TensorRT engine files are target-device and TensorRT-version sensitive. Upload Nano and NX engine sets separately and keep checksums in the manifest.
Jetson Voice Usage
JETSON_VOICE_PROFILE=multilanguage-qwen-highperf \
QWEN3_HF_REPO_ID=harvestsu/qwen3-edgellm-jetson-artifacts \
docker compose -f deploy/docker-compose.yml up -d
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