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LLM sizes balloon to 512GB, dwarfing previous benchmarks

By PulseAugur Editorial · [1 sources] ·

The size of large language models has significantly increased, with a 512GB "flash model" now being discussed. This is a notable shift from just a few years ago when 100GB was considered very large for an LLM. The discussion humorously questions what smaller models would be called in comparison. AI

IMPACT Highlights the rapid growth in LLM parameter counts and storage requirements.

RANK_REASON Discussion about model size, not a new release or significant event.

Read on r/LocalLLaMA →

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

LLM sizes balloon to 512GB, dwarfing previous benchmarks

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0 / 100
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Newsworthiness bucket
Meme
Discussion about model size, not a new release or significant event.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Terminator857 ·

    I find it funny that a flash model is now 512GB

    <!-- SC_OFF --><div class="md"><p>A few years ago a 100GB was considered a very large language model. What do we call under 100GB models now? Tiny models? haha</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/Terminator857"> /u/Terminator857 …

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