ended5월 26일· 1 sources

EAGLE 3.1 Redefines LLM Efficiency via Collaborative Speculative Decoding

EAGLE 3.1 공개, vLLM·TorchSpec 협업으로 LLM 추론의 고질적 난제 풀었다

Why it matters

EAGLE 3.1 tackles 'attention drift' to ensure speculative decoding remains robust across long-context and varying system prompts. This joint release with vLLM and TorchSpec marks a major shift toward more deployable and stable high-speed LLM inference systems.

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EAGLE 3.1Speculative DecodingvLLMTorchSpecAttention DriftKimi K2.6

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