Jagle VL 2.2B FineVision

Jagle VL 2.2B FineVision combines Qwen3-1.7B with SigLIP 2 So400m and a two-layer projector. It is an LLM-jp-trained multimodal derivative.

Research release

The dataset defines this release

The training corpus is FineVision. The card declares Apache 2.0 for the model and also instructs users to comply with terms attached to proprietary-model outputs in the dataset.Jagle VL 2.2B FineVision official model card

Compare the dataset choice at fixed architecture

Practical guidance. Use this English-dataset variant as a control for the Japanese Jagle mixture. It does not establish that Japanese content was covered to the same extent.

Specifications & access

Jagle VL 2.2B FineVision specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersJagle-VL-2.2B-FineVision
Language ancestryQwen3-1.7B.Jagle VL 2.2B FineVision official model card
Vision ancestryGoogle SigLIP 2 So400m, patch16 at 512 pixels.Jagle VL 2.2B FineVision official model card
Training datasetFineVision.Jagle VL 2.2B FineVision official model card

Related models

  • The 2.2B Jagle vision-language experiment trained with Jagle data.

    Launch date not confirmedResearch releaseDownloadable
  • A Japanese-English vision-language reasoning model that changes both the language backbone and training data from the beta.

    Launch date not confirmedResearch releaseDownloadable