Accio-Lab/Metis-RL
Metis-RL Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models Metis-RL is the reinforcement learning training dataset used to train the Metis-8B-RL model via Hierarchical Decoupled Policy Optimization (HDPO). It contains ~5.2K multimodal prompts spanning perception, search, and mathematical/logical reasoning tasks. [Paper (arXiv)] | [GitHub] | [RL Model] | [ColdStart Model] | [ColdStart Data] Dataset Details Attribute Value Size… See the full description on the dataset page: https://huggingface.co/datasets/Accio-Lab/Metis-RL.
| Author / organization | Accio-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 321 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 9 April 2026 |
| Last updated at source | 10 April 2026 |
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321 now (+79 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Metis-8B-RL-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: Metis-RL Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models Metis-RL is the reinforcement learning training dataset used to train the Metis-8B-RL model via Hierarchical Decoupled Policy Optimization (HDPO). It cont → Metis-RL Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models Metis-RL is the reinforcement learning training dataset used to train the Metis-8B-RL model via Hierarchical Decoupled Policy Optimization (HDPO). It cont
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More from Accio-Lab
- Accio-Lab/occamy-data-1.0Dataset
- Accio-Lab/Metis-ColdStartDataset
- Accio-Lab/MM-CondChainDataset
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