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English(EN) Is there a GLM 5.3 Flash Antirez/DS4 GGUF targeted at 192 GB RAM?

用户寻求适用于192GB RAM的GLM 5.3 Flash模型,采用Antirez/DS4量化

一位Reddit r/LocalLLaMA板块的用户正在询问是否存在GGUF格式的GLM 5.3 Flash模型,该模型专门针对Antirez/DS4量化方法进行优化,并面向大约192 GB的RAM。用户指出,现有的Q4版本太大,而Q2等较小量化版本会牺牲太多质量并浪费大量RAM。他们正在寻求帮助来创建或找到这样的模型,以更好地利用其硬件。 AI

排序理由 这是一个关于模型量化和硬件限制的用户在特定技术论坛上的提问,并非发布或重要的行业事件。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

用户寻求适用于192GB RAM的GLM 5.3 Flash模型,采用Antirez/DS4量化

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Meme
这是一个关于模型量化和硬件限制的用户在特定技术论坛上的提问,并非发布或重要的行业事件。
Source corroboration
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, infra
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Clearly on-topic for AI-industry coverage.
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报道来源 [1]

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

    是否有针对 192 GB RAM 的 GLM 5.3 Flash Antirez/DS4 GGUF?

    <!-- SC_OFF --><div class="md"><p>Is one possible? Can I make one?</p> <p>Antirez has a Q2 @ 96.5 GB which will lose quality compared to Q4 and wastes ~95 GB of my Mac’s RAM, and a Q4 @ 191 GB which is too big as it doesn’t leave enough room for OS let alone KV cache.</p> <p>I no…