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context212
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Model Details
Model Provider
context212
Model Tree
unsloth/Qwen3-VL-2B-Instruct
Input Modalities
Output Modalities
Supported Functionality
CER / WER (lower is better), greedy decoding, 50 samples each on the held-out eval split and on external ahmedheakl/arocrbench_khatt:
| Model | Eval CER ↓ | Eval WER ↓ | KHATT CER ↓ | KHATT WER ↓ |
|---|---|---|---|---|
| Qwen3-VL-2B-Instruct (base) | 0.792 | 0.947 | 1.893 | 1.801 |
| Alhazen-OCR | 0.328 | 0.504 | 0.841 | 1.193 |
Held-out character error: 0.79 → 0.33. External KHATT handwriting: 1.89 → 0.84 CER.
This release (khattmix) adds line-level KHATT handwriting (~30% of the mix) on top of synthetic printed, invoices, and paragraph handwriting; KHATT-bench transcript overlap is removed from train.
Serve the base with the adapter attached (vLLM example):
bash
vllm serve Qwen/Qwen3-VL-2B-Instruct \--enable-lora \--lora-modules alhazen=context212/alhazen-ocr \--limit-mm-per-prompt '{"image": 1}' \--mm-processor-cache-gb 0 \--no-enable-prefix-caching
Prompt:
Extract all the text from this image, preserving the original reading order.
Keep temperature=0 for transcription.
bibtex
@misc{alhazen-ocr-2026,title = {Alhazen-OCR},author = {Context212},year = {2026},howpublished = {\url{https://huggingface.co/context212/alhazen-ocr}}}