Training datasets of the paper: Chain-of-Agents: End-to-End Agent Foundation Models via
Multi-Agent Distillation and Agentic RL
AI & ML interests
Personalization & Agents
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models
12
PersonalAILab/AFM-CodeAgent-7B-rl
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27
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PersonalAILab/AFM-CodeAgent-7B-sft
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29
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PersonalAILab/AFM-WebAgent-32B-sft
33B
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19
PersonalAILab/AFM-WebAgent-7B-sft
8B
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13
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1
PersonalAILab/AFM-MHQA-Agent-3B-rl
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26
PersonalAILab/AFM-WebAgent-7B-rl
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15
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PersonalAILab/AFM-MHQA-Agent-7B-sft
8B
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13
PersonalAILab/AFM-MHQA-Agent-7B-rl
8B
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30
PersonalAILab/AFM-MHQA-Agent-3B-sft
3B
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21
PersonalAILab/AFM-CodeAgent-32B-rl
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datasets
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PersonalAILab/AFM-CodeAgent-RL-Dataset
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67.6k
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239
PersonalAILab/MiCoTA
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19.7k
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46
PersonalAILab/AFM-MHQA-RL-Dataset
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170k
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202
PersonalAILab/AFM-MHQA-Agent-SFT-Dataset
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8.83k
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396
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2
PersonalAILab/AFM-WebAgent-RL-Dataset
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10.4k
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359
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PersonalAILab/AFM-CodeAgent-SFT-Dataset
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59.9k
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380
PersonalAILab/AFM-WebAgent-SFT-Dataset
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7.61k
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320
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PersonalAILab/TaskCraft
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6.24k
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PersonalAILab/PersonaFeedback
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146
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4