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yks-vlm-lora-v2
cgalabs/yks-vlm-lora-v2
yks-vlm-lora-v2 is a image-text-to-text model from cgalabs. 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 transformers. The card lists the license as apache-2.0.
YKS-VLM-LoRA-v2 is a LoRA fine-tuned Vision-Language Model built on top of Qwen2.5-VL-32B-Instruct, optimized for Turkish exam-style math questions (YKS).
Access
Public
Updated Dec 14, 2025
Repo size
134 MB
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1
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Repo makeup
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025
- SHA
- bafe665c
Base models
Model card
From the Hugging Face model README
YKS-VLM-LoRA-v2
YKS-VLM-LoRA-v2 is a LoRA fine-tuned Vision-Language Model built on top of
Qwen2.5-VL-32B-Instruct, optimized for Turkish exam-style math questions (YKS).
This model is designed as a vision-to-structured-output component rather than a full end-to-end solver.
check us out: cga-labs.com
What this model is good at
- Reading math questions from images
- Understanding exam-style layouts (options, figures, tables)
- Producing stable, structured JSON outputs
- Acting as a preprocessing / parsing layer for downstream solvers
Typical output format:
{
"final_answer": "C"
}
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Languages
- tr, en
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025