Tune a speculative-decoding DRAFT head's TRAINING hyperparameters (global batch, learning rate, accumulation, warmup) for a target LLM, optimizing the TRUE serving in-engine acceptance length (vLLM specdecode counters) with a cheap training-acc proxy for triage. Reuses the search ALGORITHMS (hyperband/grid/random natively. Bayesian-TPE via optuna if installed) wired to a GB300/managed K8s pod launcher + an offline EAGLE3/DFlash trainer (distinct from the MLPerf aituning contract, which does not map to draft training). The draft-training analog of inference-tune-sweep (which tunes vLLM SERVING config). Triggers on "tune the draft head", "tune eagle3 / dflash training", "bayesian/hyperband tune the draft", "search global batch and LR for the speculator", "spec-decode hyperparameter sweep", "draft-training tuner", or any combination of "tune / sweep / optimize / search / bayesian / hyperband" with "eagle3 / dflash / draft / speculator / spec-decode".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Tune a speculative-decoding DRAFT head's TRAINING hyperparameters (global batch, learning rate, accumulation, warmup) for a target LLM, optimizing the TRUE serving in-engine acceptance length (vLLM specdecode counters) with a cheap training-acc proxy for triage. Reuses the search ALGORITHMS (hyperband/grid/random natively. Bayesian-TPE via optuna if installed) wired to a GB300/managed K8s pod launcher + an offline EAGLE3/DFlash trainer (distinct from the MLPerf aituning contract, which does not map to draft training). The draft-training analog of inference-tune-sweep (which tunes vLLM SERVING config). Triggers on "tune the draft head", "tune eagle3 / dflash training", "bayesian/hyperband tune the draft", "search global batch and LR for the speculator", "spec-decode hyperparameter sweep", "draft-training tuner", or any combination of "tune / sweep / optimize / search / bayesian / hyperband" with "eagle3 / dflash / draft / speculator / spec-decode".
Quick start
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Tune a speculative-decoding DRAFT head's TRAINING hyperparameters (global batch, learning rate, accumulation, warmup) for a target LLM, optimizing the TRUE serving in-engine acceptance length (vLLM spec_decode counters) with a cheap training-acc proxy for triage. Reuses the search ALGORITHMS (hyperband/grid/random natively. Bayesian-TPE via optuna if installed) wired to a GB300/managed K8s pod launcher + an offline EAGLE3/DFlash trainer (distinct from the MLPerf ai_tuning contract, which does not map to draft training). The draft-training analog of inference-tune-sweep (which tunes vLLM SERVING config). Triggers on "tune the draft head", "tune eagle3 / dflash training", "bayesian/hyperband tune the draft", "search global batch and LR for the speculator", "spec-decode hyperparameter sweep", "draft-training tuner", or any combination of "tune / sweep / optimize / search / bayesian / hyperband" with "eagle3 / dflash / draft / speculator / spec-decode".
About this listing
Category
General
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI