我刚拿手头上的4090 硬肝了三十多个小时（满载跑了 17 小时，烧了400 万 token），把 @apexin_ai 刚发的 Apex-35B-v1.0 完整测试了一遍。
This is a vibe coding post classified by AGK Intelligence as Coding agents (a tool drop), kept by the Vibe Coding Radar because it carries real work, not commentary.
重磅！兄弟们又有新模型发布了！ 我刚拿手头上的4090 硬肝了三十多个小时（满载跑了 17 小时，烧了400 万 token），把 @apexin_ai 刚发的 Apex-35B-v1.0 完整测试了一遍。 老规矩，先给结论：如果你想在单卡上跑一个真能自己干活的研究助手，超衍的这个模型可以说独一档，我最欣赏的是它的递归自我改进能力，写出来的论文和人类几乎相当！而且在很多方面还超越世界先进模型。 我在 48G 的 4090 上连测了九项，跟大家分享三个最重要的点： 1、用 Strata 跑，显存只给 24G 就能干到 115 tok/s，比 llama.cpp 快 72%；48G 开满直接飙到 205 tok/s。 2、丢给它一道 64 根血管的流体优化题，它在 30 轮里，从数据摸出流量和半径的 3.5 次方规律，把误差缩小了 580 倍，并最终完成了目标！ 3、用 Claude Code 接上它修一个挂掉的 Python 项目，21 分钟、55 次工具调用，18 个测试完全通过，全程我都没有参与，它居然自己跑出来了。 九项实测的都在视频里了，推荐有卡的兄弟直接试试！！！👇
Posted by huangserva (42.7k followers) 3 days ago · 136 likes · 129.9k views · view the original post on X. Kept by the Vibe Coding Radar as Coding agents.
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