Qari-OCR CrispEmbed GGUF

Model

• Architecture: Qwen2-VL-2B (32L ViT 1280d + spatial merger + 28L Qwen2 LLM 1536d, GQA 12/2)
• Parameters: 2B
• Performance: WER=0.221, CER=0.059, BLEU=0.597
• Training: 50K Arabic OCR records, 1 epoch, LoRA on attention+MLP

Files

Usage

Conversion

License

Provenance and EU AI Act Art. 53 note

• Upstream model: NAMAA-Space/Qari-OCR-0.2.2.1-VL-2B-Instruct — published by NAMAA-Space.
• Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
• Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.