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English(EN) [Release] ISTA DeepSeek-V4.1-Flash-1017 GSQ-RCO Coder: a 763B model at 1 bit per parameter

DeepSeek-V4.1-Flash-1017 Coder模型已剪枝至763B参数

ISTA发布了其DeepSeek-V4.1-Flash-1017模型的最新版本,特别是经过GSQ和RCO技术压缩的Coder版本。这个优化版本移除了模型一半的路由专家,将其参数数量减少到7632亿,其中5519亿在Transformer中。剪枝后的模型保留了原始性能的很高百分比,在LiveCodeBench v6上达到98.7%,在SWE-bench Verified上达到94.8%,展示了其在编码任务中的有效性。 AI

影响 此次发布展示了先进的模型压缩技术,可能有助于更高效地部署大型语言模型。

排序理由 发布特定模型变体,包含性能指标和压缩技术细节。[lever_c_从研究降级:ic=1 ai=1.0]

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 →

DeepSeek-V4.1-Flash-1017 Coder模型已剪枝至763B参数

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发布特定模型变体,包含性能指标和压缩技术细节。[lever_c_从研究降级:ic=1 ai=1.0]
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报道来源 [1]

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

    [Release] ISTA DeepSeek-V4.1-Flash-1017 GSQ-RCO Coder: a 763B model at 1 bit per parameter

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xlys6k/release_ista_deepseekv41flash1017_gsqrco_coder_a/"> <img alt="[Release] ISTA DeepSeek-V4.1-Flash-1017 GSQ-RCO Coder: a 763B model at 1 bit per parameter" src="https://preview.redd.it/g3qx4abmm7zh1.png?…