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ConwayResearch/dsv4-flash-0731-vision
dsv4-flash-0731-vision is a image-text-to-text model from ConwayResearch. 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.
Repository for the DSV4-Flash-0731 vision graft.
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From the Hugging Face model README
Repository for the DSV4-Flash-0731 vision graft.
The language base is the exact public
deepseek-ai/DeepSeek-V4-Flash-0731
checkpoint. It is intentionally not duplicated here. The vision stack uses the
frozen public
google/siglip2-so400m-patch14-384
tower, a trained two-layer projector, and an attention-only Stage-2 LoRA.
stage1/projector.safetensors: completed Stage-1 projector.stage1/metadata.json: exact projector iteration and sample counters.provenance/: evaluation, source, and pipeline receipts.recovery_manifest.json: SHA-256 and byte size for every uploaded artifact.stage2/: final attention LoRA, projector, and release receipts after Stage-2
training completes.Stage 1 is complete. Its full 11,703-row held-out baseline scored:
0.3850770.04762847.5577Stage 2 is still in progress. Until its final artifacts and evaluation receipts
appear under stage2/, this repository contains the basic Stage-1 vision graft,
not the final OCR/chart/GUI-enhanced release.
The reproducible pipeline is checkpointed in the project repository at Git
commit 7007b6b (Implement verified DSV4 vision training pipeline).
recovery_manifest.json before loading.This repository is private and intended for recovery and controlled evaluation.