English(EN) DeepSeek R1 Distilled Models for Local AI: Which Version Fits Your GPU (2026)

DeepSeek 发布用于本地AI推理的蒸馏R1模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 16:22

DeepSeek 发布了其R1推理模型的六个蒸馏版本，专为在消费级硬件上进行本地AI部署而设计。这些模型源自庞大的671B参数原始模型，体积从1.1GB到43GB不等，并基于Qwen2.5和Llama 3架构构建。最小的变体可以在只有8GB显存的GPU上运行，在数学和编码基准测试中表现出色，可与更大、更旧的模型相媲美。 AI

影响使先进的推理模型能够在消费级硬件上进行本地推理，从而普及强大的AI能力。

排序理由发布现有模型的更小、蒸馏版本以供本地部署。[lever_c_demoted from research: ic=1 ai=1.0]

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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: Tool; 发布现有模型的更小、蒸馏版本以供本地部署。[lever_c_demoted from research: ic=1 ai=1.0]
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, product; 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: 128 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。

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dev.to — LLM tag TIER_1 English(EN) · Jovan Chan · 2026-06-02 16:22

DeepSeek R1 蒸馏模型用于本地AI：哪个版本适合您的GPU (2026)

<blockquote> <p>This article was originally published on <a href="https://runaihome.com/blog/deepseek-r1-distilled-local-inference-vram-guide-2026/" rel="noopener noreferrer">runaihome.com</a></p> </blockquote> <p>DeepSeek R1 is a reasoning model — it "thinks out loud" before ans…

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DeepSeek R1 蒸馏模型用于本地AI：哪个版本适合您的GPU (2026)

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