Kimi K3 Draft Collection: three open-sourced draft models trained with TorchSpec and vLLM on GB200
AccBalanced · x · 2026-09-04
lightseekorg released the Kimi K3 Draft Collection — three draft models (EAGLE-3, DFlash2, DSpark) trained with TorchSpec and vLLM on NVIDIA GB200, with data recipes open sourced. The vLLM team highlighted it as a model example of training-serving collaboration. These speculative-decoding draft models can accelerate K3 inference, and the released recipes let the community reproduce similar work.
Related event: Three Open-Source Draft Models for Kimi K3 Released(3 posts)→
More from Infra
- PostgreSQL 19 slips to November as LLM-assisted code review floods committers with edge cases — sanjaykalra · 2026-10-21
- Decision Models' routing classifier hits AntSeed, cutting inference cost to 24% of always-Opus — airesearch12 · 2026-10-21
- Eon cuts engineer onboarding from 2 days to 2 minutes with an MCP Gateway on Bedrock AgentCore — AWS ML Blog · 2026-10-20
- a16z's Ben Horowitz says AI buildout isn't the 90s bubble — an investor pushes back — henloitsjoyce · 2026-10-20
- Micron and Nvidia drive ~36% of S&P 500's Q3 earnings growth — Beth_Kindig · 2026-10-20
- NVIDIA lands in Europe: Jensen Huang and German chancellor discuss industrial AI at GTC Berlin — nvidia · 2026-10-20