메뉴
SkillsMP는 qualcomm/ai-hub-models에서 4개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 4개 중 4개를 표시합니다.
Onboard a new model to Qualcomm AI Hub Models. Guides authoring a standalone folder (model.py, app.py, demo.py, test.py, manifest.yaml) that the qai-hub-models CLI can install, export, and evaluate. Ships `supported_precisions: [float]`; quantization is a…
원문 언어: 영어
Add a quantized precision to a float recipe that already passes `validate-on-device`. Tries w8a8, falls back to w8a16, or gives up. Hard-requires a dataset + evaluator (authors them under supervision if missing). Use after `validate-on-device`.
원문 언어: 영어
Onboard a new model to Qualcomm AI Hub Models as an in-tree recipe (lives under src/qai_hub_models/models/<id>/, appears in the public catalog, has a scorecard entry). This is a thin delta on top of the base `onboard` skill — it inherits all authoring…
원문 언어: 영어
Compile, profile, and (if evaluator wired) evaluate a float recipe on a Snapdragon device via AI Hub. Iterates on failures using `.claude/docs/on-device-debugging.md`. Use after `onboard` produces a `validate`-green float recipe, and before `add-quantization`.
원문 언어: 영어