Qari-OCR CrispEmbed GGUF
GGUF conversion of NAMAA-Space/Qari-OCR-0.2.2.1-VL-2B-Instruct (Apache-2.0) for use with CrispEmbed.
Model
Arabic OCR with full diacritics (tashkeel) support. Fine-tuned from Qwen2-VL-2B-Instruct via LoRA (r=16, alpha=16, 324 adapter pairs) on 50K Arabic OCR samples.
- 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
| File | Type | Size |
|---|---|---|
| qari-ocr-2b-f16.gguf | F16 | 4.7 GB |
| qari-ocr-2b-q8_0.gguf | Q8_0 | 2.3 GB |
| qari-ocr-2b-q4_k.gguf | Q4_K | 1.6 GB |
Usage
Uses the same qwen2vl engine as other Qwen2-VL models in CrispEmbed.
Conversion
LoRA adapter merged into full-precision Qwen2-VL-2B-Instruct base weights (324 pairs, tensor-by-tensor), then converted to GGUF via CrispEmbed converter. Quantized with crispembed-quantize (vision weights at Q8_0 floor).
License
Apache-2.0 (NAMAA-Space/Qari-OCR).
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Model tree for cstr/qari-ocr-crispembed-GGUF
Base model
Qwen/Qwen2-VL-2B Finetuned
Qwen/Qwen2-VL-2B-Instruct