speculative-decoding

SKILLFlusso di lavorocommunity
v0.0.0Orchestra-ResearchMITAggiornato 2 mesi faFonte →

Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jac

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
12kStelle del repo
1Client
1Formati
2 mesi faUltimo aggiornamento
Skill
AutoreOrchestra-Research
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptApri (vedi la scheda Prompt)
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.

Parole chiave
skillclaude