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Hugging Face shares a livestream on speculative decoding for faster local LLMs

vLLM says making speculative decoding easier to put into practice benefits the inference community.

merveME
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2 Sources, 2h ago, first seen 2h ago

TLDR

Hugging Face shared a livestream about using speculative decoding to get multipliers in local LLM speed-ups. vLLM described it as a practical look at the technique and said making it easier to put into practice benefits the inference community.

Combined views

2.4K

2 Sources, first seen 2h ago

31 likes1 comments9 saves4 reposts

Combined views

2.4K

2 Sources, first seen 2h ago

31 likes1 comments9 saves4 reposts
Image: @huggingface on X

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2 Sources

vLLM@vllm_projectMaking speculative decoding easier to put into practice benefits the whole inference community. Check out @huggingface's livestream with @mervenoyann, @MaartenGr and @_EldarKurtic for a practical look at speeding up local LLMs!2h
merve@mervenoyannRT @vllm_project: Making speculative decoding easier to put into practice benefits the whole inference community. Check out @huggingface's…2h
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    2 Sources

    vLLM@vllm_projectMaking speculative decoding easier to put into practice benefits the whole inference community. Check out @huggingface's livestream with @mervenoyann, @MaartenGr and @_EldarKurtic for a practical look at speeding up local LLMs!2h
    merve@mervenoyannRT @vllm_project: Making speculative decoding easier to put into practice benefits the whole inference community. Check out @huggingface's…2h
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