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English(EN) Is anyone working on improving prefill speed? (Qwen 27b, Flash)

LocalLLaMA 用户讨论 Qwen 模型预填充速度停滞不前

Reddit r/LocalLLaMA 社区的一位用户正在询问有关大型语言模型预填充速度改进的问题,特别提到了 Qwen 27B 和 Qwen Flash Next。虽然解码速度已经取得了显著的进步,但用户指出预填充性能似乎滞后,这可能是由于硬件限制或在尝试优化速度时准确性方面的权衡。他们正在寻求有关正在进行的任何工作或正在开发的巧妙解决方案的信息,以解决这一瓶颈。 AI

影响 强调了 LLM 推理性能中一个潜在的瓶颈,可能需要进一步的研究或硬件创新。

排序理由 用户对 LLM 的技术限制进行的讨论,而非发布或新开发。

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 →

LocalLLaMA 用户讨论 Qwen 模型预填充速度停滞不前

本文如何被排名

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
用户对 LLM 的技术限制进行的讨论,而非发布或新开发。
Source corroboration
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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
infra
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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]

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

    有人在努力提升预填充速度吗?(Qwen 27b, Flash)

    <!-- SC_OFF --><div class="md"><p>I see everyone improving decode with bespoke models, like Sushi or Splash with Qwen 27b and Qwen Flash Next, and I'm running QFN now at 40tk/s on my M3 Max which is awesome.</p> <p>But prefill feels stagnant. I was trying to work on layer / atten…