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Repository: localaiLicense: apache-2.0

OvisOCR2 is ATH-MaaS's compact 0.8B vision-language model for page-level document parsing. It converts document images into Markdown while preserving formulas as LaTeX, tables as HTML, and the original reading order. This default entry uses the Q4_K_M GGUF with the F16 vision projector.
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OvisOCR2 in the higher-fidelity Q8_0 GGUF format with the F16 vision projector.
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Repository: localaiLicense: apache-2.0
MiniCPM-OCR 1.0 is OpenBMB's 1.3B document-parsing model for Chinese and English text, tables, formulas, charts, and seals. This entry uses the official Q8_0 GGUF weights and the required F16 4x vision projector through llama.cpp, with an 8,192-token default context. Prompt the model with "Text Recognition:" for text, "Table Recognition:" for tables, or "Formula Recognition:" for formulas. Table output is the model's OTSL markup, which clients can convert to HTML.
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Repository: localaiLicense: apache-2.0
MiniCPM-OCR 1.0 in the smaller Q4_K_M GGUF build, with the required F16 4x vision projector and an 8,192-token default context. Tables stay lossless at this size; dense text may degrade slightly. Prompt the model with "Text Recognition:" for text, "Table Recognition:" for tables, or "Formula Recognition:" for formulas. Table output is the model's OTSL markup, which clients can convert to HTML.
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Repository: localaiLicense: apache-2.0
MiniCPM-OCR 1.0 with OpenBMB's DSpark speculative drafter. DSpark proposes blocks of tokens that the target verifies, which speeds up generation without changing the target model's output. This entry pairs the Q8_0 target with the matching Q8_0 draft and the required F16 4x vision projector, with an 8,192-token default context.
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