llm-jp/Jagle
Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision–Language Models | 🤗 HuggingFace | 📄 Paper | 🧑💻 Code | Overview Jagle is a large-scale Japanese multimodal post-training dataset, comprising approximately 9.2 million instances across diverse tasks. Jagle was used to train LLM-jp-4-VL 9B beta. We construct Jagle by collecting a wide range of source data, including image–text pair datasets such as WAON… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/Jagle.
| Author / organization | llm-jp |
|---|---|
| License (as declared) | other |
| Downloads | 258 (as reported by Hugging Face) |
| Likes | 17 |
| Created | 11 April 2026 |
| Last updated at source | 12 May 2026 |
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258 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- tokimoa/llm-jp-4-vl-9b-beta-mlx-bf16Model · used to train
- mlx-community/llm-jp-4-vl-9b-mlx-4bitModel · used to train
- llm-jp/llm-jp-4-vl-9b-betaModel · used to train
- Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision-Language ModelsPaper · cites
- llm-jp/llm-jp-4-vl-9bModel · used to train
Recent changes
- 17 Oct 2026 Description: Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision–Language Models | 🤗 HuggingFace | 📄 Paper | 🧑💻 Code | Overview Jagle is a large-scale Japanese multimodal post-training dataset, comprising approximatel → Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision–Language Models | 🤗 HuggingFace | 📄 Paper | 🧑💻 Code | Overview Jagle is a large-scale Japanese multimodal post-training dataset, compr
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