Image-Text-to-Text
PEFT
Safetensors
English
Korean
vision-language
multimodal
clip
qwen2.5
lora
llava
korean
ood-detection
mini-llava
Instructions to use AD-Styles/mini-llava-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AD-Styles/mini-llava-v3 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
-
docs: drop "(μ μ§ν λͺ μ)" subtitle from Β§λ³νμ§ μμ κ²
Verified signaturee18f68f -
docs: 3-way intro (νκ΅μ΄ μ¬νμ΅ / νκ° wrapper+OOD / λ°°ν¬ Slim adapter)
Verified signaturefe6c580 -
docs: portfolio-tone rebalance (drop self-deprecating PEFT callout, neutral Slim heading)
Verified signatureabac4e0 -
docs: soften OOD claim, name slim as PEFT workaround, clarify VQA scope
Verified signatureee5e61c -
docs: sync model card with corrected VQAv2 measurement (+2pp v3>v2)
Verified signature85399b0
-
Honest messaging: separate capability gains (Korean, OOD) from deployment optimization (Slim)
Verified signature62f15c2 -
Add v3 slim adapter (1045MB β 8.28MB, no quality loss)
Verified signatureeeaf08c -
Add v3 projector (Korean training, 175 min)
Verified signature4e4ab0c -
Add v3 model card (Korean + Slim + OOD)
Verified signatureeae11b6 -
initial commit
Verified signature4fbe8cd