Jina-OCR-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards
Jina-OCR-v1 is presented, an end-to-end document parsing model built to serve on low-budget GPUs that combines the compressed-vision encoder and the 3B mixture-of-experts decoder of DeepSeek-OCR with a FastMTP speculative decoding head that shares a single draft block recursively across K=3 prediction steps.
Alejandro Barón García, Feng Wang, Emília Garcia Casademont et al.
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