Jina AI Releases jina-ocr-v1: A 3.4B MoE Document Parser With Built-In Speculative Decoding for Low-Budget GPUs
MarkTechPost 3 weeks ago 23
Jina AI released jina-ocr-v1, an end-to-end visual document parser that converts PDFs, scans, tables, charts, and invoices into clean Markdown in one pass. The model has 3.4B total parameters, with about 570M decoder parameters active per token, and it includes a speculative decoding head. The release adds deployable low-budget-GPU inference with lossless speculative decoding speedups (e.g., 1.95x tokens/sec on an NVIDIA L4) and distributes open weights under a CC BY-NC 4.0 license that restricts commercial use.