olmOCR-2-7B-1025 โ€” CrispEmbed GGUF

GGUF conversion of allenai/olmOCR-2-7B-1025 (Apache-2.0, a Qwen2.5-VL-7B document-OCR fine-tune) for the CrispEmbed native runtime.

file quant size notes
olmocr-2-7b-q8_0.gguf Q8_0 8.4 GiB norms/bias/embeddings F32
olmocr-2-7b-q4_k.gguf Q4_K 5.3 GiB vision kept at Q8_0 floor

Converted with models/convert-qwen2vl-to-gguf.py (F16 intermediate) and crispembed-quantize.

Usage

crispembed --ocr-pipeline page.png --ocr-engine olmocr

The runtime auto-detects the olmOCR contract from the model name: the exact no-anchoring fine-tune prompt, text-before-image user turn, longest-side-1288 input scaling, and 8000-token output budget. The model answers in markdown with a YAML front-matter block (language / rotation / table / diagram flags); CrispEmbed strips it by default (CRISPEMBED_OLMOCR_RAW=1 keeps the raw output).

Attribution

All model weights derive from allenai/olmOCR-2-7B-1025 (Ai2), Apache-2.0. See the upstream model card for training details and the olmOCR toolkit.

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