Llama-Poro-2-8B-base
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The official PaddleOCR-VL-1.6-GGUF release is F16 and totals 1.73 GB. This one is 856 MB with no measurable difference in output. Decoder: `llama-quantize` Q4_K_M from the official F16 GGUF. Projector: `convert_hf_to_gguf.py --mmproj --outtype q8_0` from the safetensors release (llama.cpp b10150). The upstream vision config declares `SiglipVisionModel`; the converter's mmproj path expects `PaddleOCRVisionModel`, so that field was renamed before converting. No weights were altered.
GGUF conversion of jzhang533/PaddleOCR-VL-For-Manga, a PaddleOCR-VL fine-tune for Japanese manga text. Converted for use in the browser via wllama, which needs GGUF rather than safetensors. Use the prompt `OCR:` — these weights are trained on it. The model expects a crop of a single text region, not a whole page. Converted with `convert_hf_to_gguf.py` (llama.cpp b10150) to F16, then quantized with `llama-quantize` to Q4_K_M. The vision projector is Q8_0.
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