r/LocalLLaMA 子版块的一位用户正在询问运行 DeepSeek-V4-Flash-0731 模型所需的最低显存。他们特别关注 Q4_K_XL 量化，并希望由于模型的活跃参数数量，显存需求能够得到控制。该用户正在寻求可能在高达 48GB 显存的 GPU 上测试过该模型的其他人的反馈。 AI
影响 确定在本地运行先进 AI 模型所需的硬件。
排序理由 用户询问运行特定 AI 模型所需的硬件要求。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Reddit 上关于 DeepSeek-V4-Flash-0731 显存需求的讨论
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Tool
- 用户询问运行特定 AI 模型所需的硬件要求。
- 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
- 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
- 86 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
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运行 DeepSeek-V4-Flash-0731 Q4_K_XL 大约 30 t/s 所需的最低显存 GPU 是多少？
<!-- SC_OFF --><div class="md"><p>Hello guys,</p> <p>I'm curious about running <strong>DeepSeek-V4-Flash-0731</strong> locally. Since it’s a Mixture of Experts (MoE) model with only 13B active parameters, I was hoping the VRAM requirements might be manageable.</p> <p>Did someone …