English(EN) Small model good for reverse engineering that can run on a 3090 and 32GB RAM.

用户寻求可在 3090 上进行逆向工程的小型本地 LLM

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 20:16

Reddit 的 r/LocalLLaMA 子版块上一名用户正在寻找适合逆向工程任务的小型本地语言模型推荐。用户特别提到，由于此类活动可能导致账户被终止，基于云的模型可能存在问题，并且 GLM 5.3 对其硬件来说太大。他们正在寻找一个可以在配备 3090 显卡和 32GB RAM 的系统上运行的模型。 AI

排序理由这是 Reddit 上的用户查询，寻求特定类型的人工智能模型用于小众用例，而不是重大的行业事件或发布。

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 →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Meme; 这是 Reddit 上的用户查询，寻求特定类型的人工智能模型用于小众用例，而不是重大的行业事件或发布。
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: product, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/politefella0 · 2026-10-24 20:16

Small model good for reverse engineering that can run on a 3090 and 32GB RAM.

<div class="md"><p>Anyone knows of a good model that does not say no to reverse engineering? Cloud models will even terminate your account by snitching on you and GLM 5.3 is too big to run on my potato. Help would be greatly appreciated. </p> <p>Thanks. </p> </div>…

本文如何被排名

报道来源 [1]

Small model good for reverse engineering that can run on a 3090 and 32GB RAM.

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