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deepseek-v4.1POST

实测:DeepSeek V4.1 Flash 在 DeepSeek Harness 上跑出 100% agent 基准

用 oMLX 量化的 V4.1 Flash 在 DeepSeek Harness 默认设置下成为首个在该 agent 基准拿满分的本地模型,同模型换 PI 轨迹更散、上限更低。

Kev
@Kevrsub7 天前收录原推发布于 2026.10.24
Kev @Kevrsub原推发布于 2026.10.24
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I wanted to test what both did at default. On an agentic bench I use, DSH with Deepseek v4.1-Flash (jundots oMLX quant) was the first and only local model to date to score 100% on this bench. I didn't change anything with DSH or PI. Effort -50, reasoning budget of 7k. Same model with PI had a wider trajectory and lower capability ceiling. I was more focused on the bench results (quality) and DSH had a way longer wall clock time and higher tokens but I couldn't argue with the quality. Happy testing 😉

x.com/kevrsub/status/2113759334811500977采集于 2026.10.24 12:07