vLLM releases Speculators v0.9.0 with faster, lower-storage speculative decoding training
Overview
vLLM releases Speculators v0.9.0, which it says makes forward training passes up to 2x faster with a fused loss kernel.
A new FP8 hidden-state backend cuts storage 50% with no quality loss, according to vLLM. vLLM says the speedup applies to small models of about 1B parameters, and the trained speculators can be served in vLLM.
Written by AI from the articles below · updated Oct 19, 12:27 PM ET
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vLLM@vllm_projectOfficialSpeculators v0.9.0 speeds up speculative decoding training and cuts storage 50%AISpeculators v0.9.0 adds a fused loss kernel that makes forward training passes up to 2x faster, according to vLLM. An FP8 hidden-state backend cuts storage 50% with no quality loss, and the speedup applies to small models of about 1B parameters. The trained speculators can be served in vLLM.
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