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English(EN) I tried to do agenic coding with Qwen 3.8 27B 3bit quant on a macbook air m2 24gb. It took 63 hours, but amazingly, the flight simulator worked.

Qwen 3.8-27B 模型在本地硬件上进行代理编码时遇到困难

一位用户尝试在配备 Qwen 3.8-27B 模型的 MacBook Air M2 上进行代理编码,该过程耗时 63 小时才生成了一个功能正常但有 bug 的飞行模拟器。相比之下,使用 Google AI Studio 和 Qwen Studio 等云平台执行相同任务的完成时间明显更快,输出也更完善,其中 Google AI Studio 在 20 分钟内实现了一次成功。 AI

影响 凸显了本地和云端 LLM 执行复杂任务之间的显著性能差距。

排序理由 用户对特定模型和硬件配置的实验。

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 →

Qwen 3.8-27B 模型在本地硬件上进行代理编码时遇到困难

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报道来源 [1]

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

    我尝试在配备 24GB 内存的 MacBook Air M2 上使用 Qwen 3.8 27B 3bit quant 进行代理编码。耗时 63 小时,但令人惊讶的是,飞行模拟器竟然能运行。

    <!-- SC_OFF --><div class="md"><p>I used LM Studio Bionic with Qwen 3.8 27B Q3_K_S with 57k context.</p> <p>It took a staggering 63 hours to finish coding. After the first prompt &quot;Create a beautiful, relaxing flight simulator in a single HTML page&quot; taking 47.8 hours, it…