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deepseek-v4.1IMAGE

4× DGX Spark 部署 V4.1 Flash 1017:2.9-bit 量化约 150 tok/s

同引擎零改代码上线:2.9-bit 量化 MMLU 89.5%,代码约 150 tok/s,20 万 token 读 35.7 秒,3D agent 测试 108/180 居首。

Neko Legends
@softpoo11 天前收录原推发布于 2026.10.18
4× DGX Spark 部署 V4.1 Flash 1017:2.9-bit 量化约 150 tok/s(第 1 张,共 4 张)
4× DGX Spark 部署 V4.1 Flash 1017:2.9-bit 量化约 150 tok/s(第 2 张,共 4 张)
4× DGX Spark 部署 V4.1 Flash 1017:2.9-bit 量化约 150 tok/s(第 3 张,共 4 张)
4× DGX Spark 部署 V4.1 Flash 1017:2.9-bit 量化约 150 tok/s(第 4 张,共 4 张)
Neko Legends @softpoo原推发布于 2026.10.18
在 X 上打开原推

DeepSeek dropped V4.1-Flash-1017 this morning. By afternoon it was serving on our 4× DGX Spark cluster — same TensorFold engine, no code changes, config-only drop-in. 2.9-bit: MMLU 89.5% (full-precision hosted: 90.0%). ~150 tok/s on code, 200K-token prompt read in 35.7s. Agentic 3D test (vision → build a garage in Blender over MCP): 108/180 — top of four models we've run: GLM-5.3-Flash 98, our previous DeepSeek 79, Nemotron 3.5 Super VL 44. Bonus: same weights, same 111 tasks — raw API, our pi harness, and DeepSeek's own harness all scored 101. The harness barely mattered.

x.com/softpoo/status/2111569274217419110采集于 2026.10.18 16:33