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English(EN) I got Deepseek V4 work in Framework Desktop, an AMD Strix Halo PC with 128G memory, inside Lemonade server. I briefly tested code snippet generation, and result

DeepSeek V4 集成并测试于 Framework Desktop PC

DeepSeek V4 模型已成功集成并测试于一台运行在 Lemonade 服务器环境中的 Framework Desktop PC 上,该 PC 配备了 AMD Strix Halo 处理器和 128GB 内存。代码片段生成的初步测试结果令人印象深刻,模型在处理长上下文时表现出一致的性能,尽管其速度被认为相对较慢。尽管在使用非常长的上下文(总计约 35k tokens)时出现了一些不稳定和过早的流结束问题,但总体而言,DeepSeek V4 在代码生成方面的体验是积极的,模型能够生成高质量的代码,并能根据计划准确地重新生成代码。 AI

影响 展示了在消费级硬件上运行先进 LLM 的潜力,尽管速度和上下文长度仍是限制因素。

排序理由 用户成功地在特定的硬件和软件上集成并测试了一个 AI 模型。

在 Mastodon — fosstodon.org 阅读 →

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

DeepSeek V4 集成并测试于 Framework Desktop PC

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Tool
用户成功地在特定的硬件和软件上集成并测试了一个 AI 模型。
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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
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Clearly on-topic for AI-industry coverage.
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56 days old
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    我在 Lemonade 服务器上成功运行了 Deepseek V4,该服务器搭载了 AMD Strix Halo 处理器和 128GB 内存的 Framework Desktop 电脑。我简要测试了代码片段生成,结果...

    I got Deepseek V4 work in Framework Desktop, an AMD Strix Halo PC with 128G memory, inside Lemonade server. I briefly tested code snippet generation, and result was pretty good. Downsides are that it's rather slow and context is short. But coming from a mini-PC it's still *very* …