新闻
SpecForge v0.3.0: a Unified Disaggregated and Colocated Speculative Decoding Stack, and New Open SpecBundle Draft Models
LMSYS · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- SpecForge v0.3.0 separates target-model inference from draft-model training, supports six speculative decoding methods, and releases new open draft models.
- 为何重要
- Engineers optimizing language model inference throughput through speculative decoding should evaluate whether disaggregated training improves their capture-to-training resource ratios.
- 注意
- The 10% throughput gain on an 8xH20 testbed may not generalize to different hardware, model sizes, or sequence lengths; P-EAGLE supports only online training currently.
收听本摘要
- speculative
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