Skip to content
Trending storyDeveloping

Hugging Face publishes inference guide on prefill, decode and KV cache; more guides planned

2 articles1 sourcesince Oct 9Last article 1h ago ·

Overview

AISummary of 2 articles

Hugging Face has released the first in a planned series of conceptual guides on LLM inference, covering prefill, decode and the KV cache, according to Hugging Face's Merve Noyan on X. Noyan says the guide explains what to optimize for when trying to get the most performance out of a local setup.

Noyan also says guides on speculative decoding and then quantization are in progress, and points readers to the Llama App docs page comparing prefill and decode.

Written by AI from the articles below · updated Oct 9, 9:37 AM ET

Check the sources:

Developments

2 developments

  1. Oct 9, 9:06 AM ET · 1 article
    Hugging Face working on speculative decoding and quantization guides
    Merve Noyan: Hugging Face working on speculative decoding and quantization guides
  2. Oct 9, 9:05 AM ET · 1 article
    Conceptual guide on prefill, decode, and KV cache for local inference optimization
    Merve Noyan: Hugging Face publishes a guide on LLM inference prefill, decode, and KV cache

Article timeline

Follow the coverage from different perspectives. Times are ET.

Oct 9
  1. merve
    Hugging Face working on speculative decoding and quantization guides

    AIMerve Noyan, of Hugging Face, says a new guide on speculative decoding is in progress, followed by one on quantization. She points readers to the Llama App docs page comparing prefill and decode.

  2. merve
    Hugging Face publishes a guide on LLM inference prefill, decode, and KV cache

    AIHugging Face has released the first in a series of conceptual guides on inference, covering prefill, decode, and the KV cache. The post says the guide explains what to optimize for when trying to get the most performance out of a local setup.

    Image from @mervenoyann's post

Heat trend

Not enough continuous observations to show a trend yet.