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Cap Iaa Lora Attn by kkeezz

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  Adapter   Finetuned   Lora   Mplug owl2   Peft   Region:us
Model Card on HF 🤗: https://huggingface.co/kkeezz/cap-iaa-lora-attn 

Cap Iaa Lora Attn Benchmarks

LLME Score: 0.15966
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cap Iaa Lora Attn (kkeezz/cap-iaa-lora-attn)
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Cap Iaa Lora Attn Parameters and Internals

LLM NameCap Iaa Lora Attn
Repository 🤗https://huggingface.co/kkeezz/cap-iaa-lora-attn 
Required VRAM0.2 GB
Updated2025-07-31
Maintainerkkeezz
Model Files  0.3 GB   0.2 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesmodel.layers.18.self_attn.v_proj.multiway.1|model.layers.14.self_attn.v_proj.multiway.1|model.layers.27.self_attn.q_proj|model.layers.2.self_attn.q_proj|model.layers.4.self_attn.q_proj|model.layers.18.self_attn.q_proj|model.layers.7.self_attn.q_proj|model.layers.5.self_attn.q_proj|model.layers.15.self_attn.q_proj|model.layers.7.self_attn.v_proj.multiway.1|model.layers.6.self_attn.v_proj.multiway.1|model.layers.12.self_attn.v_proj.multiway.1|model.layers.16.self_attn.q_proj|model.layers.31.self_attn.q_proj|model.layers.17.self_attn.q_proj|model.layers.10.self_attn.q_proj|model.layers.22.self_attn.q_proj|model.layers.3.self_attn.v_proj.multiway.1|model.layers.23.self_attn.q_proj|model.layers.9.self_attn.v_proj.multiway.1|model.layers.13.self_attn.q_proj|model.layers.4.self_attn.v_proj.multiway.1|model.layers.11.self_attn.v_proj.multiway.1|model.layers.19.self_attn.v_proj.multiway.1|model.layers.21.self_attn.q_proj|model.layers.26.self_attn.q_proj|model.layers.28.self_attn.v_proj.multiway.1|model.layers.20.self_attn.q_proj|model.layers.31.self_attn.v_proj.multiway.1|model.layers.0.self_attn.q_proj|model.layers.24.self_attn.v_proj.multiway.1|model.layers.30.self_attn.q_proj|model.layers.5.self_attn.v_proj.multiway.1|model.layers.17.self_attn.v_proj.multiway.1|model.layers.27.self_attn.v_proj.multiway.1|model.layers.13.self_attn.v_proj.multiway.1|model.layers.6.self_attn.q_proj|model.layers.12.self_attn.q_proj|model.layers.25.self_attn.q_proj|model.layers.2.self_attn.v_proj.multiway.1|model.layers.1.self_attn.q_proj|model.layers.10.self_attn.v_proj.multiway.1|model.layers.29.self_attn.v_proj.multiway.1|model.layers.30.self_attn.v_proj.multiway.1|model.layers.3.self_attn.q_proj|model.layers.26.self_attn.v_proj.multiway.1|model.layers.8.self_attn.v_proj.multiway.1|model.layers.8.self_attn.q_proj|model.layers.11.self_attn.q_proj|model.layers.20.self_attn.v_proj.multiway.1|model.layers.24.self_attn.q_proj|model.layers.23.self_attn.v_proj.multiway.1|model.layers.28.self_attn.q_proj|model.layers.9.self_attn.q_proj|model.layers.14.self_attn.q_proj|model.layers.22.self_attn.v_proj.multiway.1|model.layers.19.self_attn.q_proj|model.layers.21.self_attn.v_proj.multiway.1|model.layers.15.self_attn.v_proj.multiway.1|model.layers.29.self_attn.q_proj|model.layers.16.self_attn.v_proj.multiway.1|model.layers.0.self_attn.v_proj.multiway.1|model.layers.25.self_attn.v_proj.multiway.1|model.layers.1.self_attn.v_proj.multiway.1
LoRA Alpha256
LoRA Dropout0.05
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than kkeezz/cap-iaa-lora-attn.

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