internlm/Agent-FLAN
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models This page holds the dataset proposed in Agent-FLAN, which consists of AgentInstruct, Toolbench, and customized negative agent samples as its source datasets. ✨ Introduction [🤗 HuggingFace] [📃 Paper] [🌐 Project Page] Open-sourced Large Language Models (LLMs) have achieved great success in various NLP tasks, however, they are still far inferior to API-based models when… See the full description on the dataset page: https://huggingface.co/datasets/internlm/Agent-FLAN.
| Author / organization | internlm |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 841 (as reported by Hugging Face) |
| Likes | 107 |
| Created | 20 March 2024 |
| Last updated at source | 20 March 2024 |
Popularity, last 3 days
841 now (+18 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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Recent changes
- 16 Oct 2026 Description: Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models This page holds the dataset proposed in Agent-FLAN, which consists of AgentInstruct, Toolbench, and customized negative agent samples as its source d → Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models This page holds the dataset proposed in Agent-FLAN, which consists of AgentInstruct, Toolbench, and customized negative agent samples as its source d
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.