EAGLE-4 combines a draft model with eagle-harness inside your inference engine to adapt speculative decoding to your hardware, batch and workload. Version 0.1.5 improves

EAGLE-4 combines a draft model with eagle-harness inside your inference engine to adapt speculative decoding to your hardware, batch and workload. Version 0.1.4 makes vLL

EAGLE-4 combines a draft model with eagle-harness inside your inference engine to adapt speculative decoding to your hardware, batch and workload. Version 0.1.3 brings na

EAGLE-4 0.1.2 updates eagle-harness on the 0.1.1 engines. On SGLang, EAGLE-4 decodes a batch without speculation wherever speculation would be slower, so the high-load re

EAGLE-4 0.1.1 updates eagle-harness and two engine builds. An SGLang server now needs only the draft path to serve EAGLE-4 and starts its first requests faster, and a new

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