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Paddleocr Vl 1.6 Manga Lora by sorryhyun

By sorryhyun · 1174 downloads
HF Repo ↗ Copy URL

Paddleocr Vl 1.6 Manga Lora is an open-source language model by sorryhyun. Features: LLM, VRAM: 0.9GB, License: apache-2.0, LLM Explorer Score: 0.29.

  Adapter Base model:adapter:paddlepaddl... Base model:paddlepaddle/paddle...   Doujin   Finetuned   Image-text-to-text   Ja   Ko   Lora   Manga   Ocr   Onomatopoeia   Paddleocr-vl   Peft   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/sorryhyun/paddleocr-vl-1.6-manga-lora 

Paddleocr Vl 1.6 Manga Lora Parameters and Internals

LLM NamePaddleocr Vl 1.6 Manga Lora
Repository 🤗https://huggingface.co/sorryhyun/paddleocr-vl-1.6-manga-lora 
Base Model(s)  PaddlePaddle/PaddleOCR-VL-1.6   PaddlePaddle/PaddleOCR-VL-1.6
Required VRAM0.9 GB
Updated2026-10-11
Maintainersorryhyun
Model Files  0.0 GB   0.9 GB
Supported Languagesja ko zh
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleslanguage_model.layers.3.self_attn.q_proj|language_model.layers.2.self_attn.q_proj|language_model.layers.6.self_attn.k_proj|language_model.layers.11.self_attn.q_proj|up_proj|down_proj|language_model.layers.2.self_attn.v_proj|language_model.layers.11.self_attn.v_proj|language_model.layers.4.self_attn.v_proj|language_model.layers.13.self_attn.q_proj|language_model.layers.14.self_attn.v_proj|language_model.layers.14.self_attn.k_proj|language_model.layers.12.self_attn.q_proj|language_model.layers.5.self_attn.v_proj|gate_proj|language_model.layers.6.self_attn.v_proj|language_model.layers.15.self_attn.k_proj|language_model.layers.13.self_attn.k_proj|language_model.layers.8.self_attn.v_proj|o_proj|language_model.layers.9.self_attn.v_proj|language_model.layers.1.self_attn.k_proj|language_model.layers.10.self_attn.k_proj|language_model.layers.8.self_attn.q_proj|language_model.layers.3.self_attn.k_proj|language_model.layers.4.self_attn.k_proj|language_model.layers.6.self_attn.q_proj|language_model.layers.5.self_attn.q_proj|language_model.layers.17.self_attn.v_proj|language_model.layers.12.self_attn.v_proj|language_model.layers.7.self_attn.k_proj|language_model.layers.9.self_attn.k_proj|language_model.layers.7.self_attn.q_proj|language_model.layers.9.self_attn.q_proj|language_model.layers.14.self_attn.q_proj|language_model.layers.13.self_attn.v_proj|language_model.layers.11.self_attn.k_proj|language_model.layers.0.self_attn.k_proj|language_model.layers.1.self_attn.q_proj|language_model.layers.4.self_attn.q_proj|language_model.layers.16.self_attn.v_proj|language_model.layers.16.self_attn.k_proj|language_model.layers.1.self_attn.v_proj|language_model.layers.3.self_attn.v_proj|language_model.layers.10.self_attn.v_proj|language_model.layers.15.self_attn.q_proj|language_model.layers.0.self_attn.q_proj|language_model.layers.10.self_attn.q_proj|language_model.layers.15.self_attn.v_proj|language_model.layers.0.self_attn.v_proj|language_model.layers.17.self_attn.k_proj|language_model.layers.17.self_attn.q_proj|language_model.layers.7.self_attn.v_proj|language_model.layers.5.self_attn.k_proj|language_model.layers.12.self_attn.k_proj|language_model.layers.2.self_attn.k_proj|language_model.layers.8.self_attn.k_proj|language_model.layers.16.self_attn.q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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