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opscribe-captioner-ortho-tool-v2
rbryant19/opscribe-captioner-ortho-tool-v2
opscribe-captioner-ortho-tool-v2 is a image-text-to-text model from rbryant19. 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.
SVD task arithmetic merge for Qwen2.5-VL-72B-Instruct surgical frame captioning.
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At a glance
- Task
- Image-Text-to-Text
- Library
- peft
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026
- SHA
- 97f0f316
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Base models
Model card
From the Hugging Face model README
opscribe-captioner-ortho-tool-v2
SVD task arithmetic merge for Qwen2.5-VL-72B-Instruct surgical frame captioning.
| Adapter | Weight | Rank | Data |
|---|---|---|---|
| captioner_voiceover_v1 | 0.40 | 16 | Surgeon-narrated ortho voiceover dataset — general captioning |
| captioner_v2 | 0.60 | 32 | Targeted v2 dataset (793 train) — priority-tool pass for mallet, reamer, Bovie, saw |
Merged to rank 32 (alpha=32, scale=1.0) via efficient thin-SVD task arithmetic.
Training Details
- captioner_v2 best val_loss: 0.0963 (3 epochs)
- Hardware: 4× NVIDIA H200, device_map=auto, bf16
- LoRA targets: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
- Task
- Image-Text-to-Text
- Library
- peft
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026