AI & Machine Learning
Train, debug, and validate a speculative decoding draft model (EAGLE3, DFlash, DSpark, Domino) through the ModelOpt launcher pipeline. Use when the user wants to add a new model to a draft-training pipeline, asks why a pipeline run failed, wants experiment logs reviewed, or wants to check whether a run's acceptance rate meets threshold. Triggers on "EAGLE3", "DFlash", "DSpark", "Domino", "draft model", "acceptance rate", "speculative decoding pipeline". Do NOT use for quantizing a model (use modelopt-ptq) or serving a checkpoint (use modelopt-deployment).
Publisher / source
NVIDIA/Model-Optimizer (found on GitHub top repositories)
Upstream record
Version
Version 1
Published
2026-11-13
Publication review
Approved for publication
Content fingerprint
e6229271c7f87aeb96f61c3fff23e3b9056677e1c2a3c2c7d754832d3cd461a0
Review before you use it
Publication approval is a recorded review state, not a guarantee of safe execution. Check the upstream license, required tools and permissions, and test in your intended client.
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Source: https://prompeteer.ai/skills-hub/61655202-832d-42e9-a8f8-6cd608d22317