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Qwen-3.8-27B-SciVisCap
PVIS2027-JT-6597/Qwen-3.8-27B-SciVisCap
Qwen-3.8-27B-SciVisCap is a image-text-to-text model from PVIS2027-JT-6597. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
This repository contains a LoRA adapter for Qwen/Qwen3.8-27B, trained on SciVisCap for scientific visualization (SciVis) figure captioning.
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At a glance
- Task
- Image-Text-to-Text
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 9, 2026
- Updated
- Sep 10, 2026
- SHA
- 931848ef
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Base models
Model card
From the Hugging Face model README
Qwen-3.8-27B-SciVisCap
This repository contains a LoRA adapter for Qwen/Qwen3.8-27B, trained on SciVisCap for scientific visualization (SciVis) figure captioning.
Training Configuration
- Epochs: 3 (final checkpoint)
- LoRA rank: 8
- LoRA alpha: 32
- Batch size: 8
- Learning rate: 1e-4 (cosine schedule, warmup ratio 0.1)
- Max sequence length: 4,096 tokens- Trained via Unsloth
- Task
- Image-Text-to-Text
- Library
- peft
- License
- apache-2.0
- Created
- Sep 9, 2026
- Updated
- Sep 10, 2026