Skip to content

Latest commit

 

History

History
32 lines (19 loc) · 1.18 KB

File metadata and controls

32 lines (19 loc) · 1.18 KB

Train SkillBench with AgentJet Swarm with Vibe Coding

result is generated by claude sonnet 4.5

=============================

你的任务是训练这个仓库中的智能体:https://github.com/benchflow-ai/skillsbench.git 仓库你需要下载到 ./tmp/skillsbench_swarm_test 这是在调试过程中你可以使用的模型(openrouter) "url": "https://openrouter-openrouter-esyubhyrxv.ap-northeast-1.fcapp.run/api/v1", "key": "sk-or-v1-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" "model": "qwen/qwen3-max"

待训练模型是在GPU服务器上的路径是: /mnt/data_cpfs/model_cache/modelscope/hub/Qwen/Qwen/Qwen2.5-7B-Instruct 另外SkillBench 可以选择使用多种智能体,你需要选择 opencode

你的skill(首先读取该SKILL文件,获取必要知识):

  • ajet/copilot/train-complex-blackbox/SKILL.md

You must test tutorial/opencode_build_skillsbench/run_episode.py 这是在调试过程中你可以使用的模型(openrouter) "url": "https://openrouter-openrouter-esyubhyrxv.ap-northeast-1.fcapp.run/api/v1", "key": "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" "model": "qwen/qwen3-max"