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Early LLM users recall Nostalgia for Bloom model's slow performance

A Reddit user expressed nostalgia for the early days of large language models, specifically recalling the challenges of running the Bloom model. They remembered needing 768GB of Optane drives and experiencing lengthy token generation times, highlighting the significant progress made in local LLM performance since then. AI

RANK_REASON User nostalgia post on Reddit about an older model.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Early LLM users recall Nostalgia for Bloom model's slow performance

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Português(PT) · /u/ilarp ·

    Nostalgia for Bloom

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ut1tno/nostalgia_for_bloom/"> <img alt="Nostalgia for Bloom" src="https://external-preview.redd.it/r2qvOEXboiNtBRW0MzwmBCZnJb2k72dbWrrvtC_Ma_k.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=a08a4d56deb6d088…