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Ant Ling· @AntLingAGI · X·· 2026-08-11AI 评分40
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蚂蚁百灵 Ling-3.0-flash 124B 在单台 DGX Spark 上实现 38.7 tok/s(官方 int4 量化),社区 GGUF 为 35.2 tok/s,速度达 DeepSeek V4 Flash 同硬件成绩的 2.4 倍。该模型支持完整 256K 上下文,并能在智能体循环中一次性写出可运行代码,被评测者视为单机最快的 124B 级本地模型。

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One DGX Spark, 38.7 tok/s, full 256K context, and working software in one shot—huge thanks to @sudoingX for a week of rigorous testing that shows what Ling-3.0-flash can deliver as a truly local 124B-class model. 🙌

引用Sudo su@sudoingX
ive been playing with @AntLingAGI's ling 3.0 flash 124b for a week now, and i need to publish some numbers and performance i found valuable from this lab. a week ago the weights dropped. since then, on one dgx spark, i benched the community quant ladder, ran every official quant to ground, took the official int4 from doesn't run to the fastest single dgx spark path, watched the model write working software in one shot through an agent loop, and served its full 256K context. everything measured the same way and public, nothing tuned to flatter anyone. the verdict: ling 3.0 flash earned a permanent seat on my box. it's the fastest 124B class path i've measured on a single spark, 38.7 tok/s on the official int4 recipe, 35.2 on the community gguf, 2.4x what deepseek v4 flash does on the same hardware, and it writes correct code on the first pass often enough to feel like a different class of local model. dive with me into the full week of receipts, quant by quant, curve by curve 👇
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来源:Ant Ling · x.com