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deepseek-v4.1IMAGE

WikiBench 1.0:V4.1 Flash 本地 1.62bit 量化反超云端版

100 个真实任务、12 模型榜单:V4.1 Flash 在单台 ASUS Ascent GX10 上以 EXL3 1.62bpw 无思考模式得 5.37 居首,比其云端版 5.01 高 0.36。

Wayne Lowry
@wikiwayne10 天前收录原推发布于 2026.10.22
WikiBench 1.0:V4.1 Flash 本地 1.62bit 量化反超云端版(第 1 张,共 2 张)
WikiBench 1.0:V4.1 Flash 本地 1.62bit 量化反超云端版(第 2 张,共 2 张)
Wayne Lowry @wikiwayne原推发布于 2026.10.22
在 X 上打开原推

WikiBench 1.0 is live. 100 real tasks, 12 weighted categories, 12 models on the board. The top five: 1. DeepSeek V4.1 Flash (EXL3 1.62bpw, no thinking), local on one ASUS Ascent GX10: 5.37 @ViC305 2. NVIDIA Nemotron 3.5 Lightning 30B-A3B (NVFP4), local on the same GX10: 5.03 3. DeepSeek V4.1 Flash, cloud via Nous Portal: 5.01 4. Meituan LongCat 2.5 Preview, cloud via Nous Portal: 4.99 5. Ornith 1.5 122B (Q4), local on the GX10: 4.88 The same DeepSeek V4.1 Flash, cut down to 1.62 bits so it fits in 128GB, beat its own cloud version by 0.36. And a 30B model on my desk still sits ahead of every cloud model on the board. Three of the top five never left the box. Full scoreboard, local vs cloud, method and the link below. Credit to all your crazy people working with a DGX Spark!

x.com/wikiwayne/status/2113038270934188169采集于 2026.10.22 11:58