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Q Align Cap Iaa Lora Scst by kkeezz

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  Autotrain compatible   Endpoints compatible   Lora   Mplug owl2   Region:us   Safetensors

Q Align Cap Iaa Lora Scst Benchmarks

LLME Score: 0.21656
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Q Align Cap Iaa Lora Scst Parameters and Internals

LLM NameQ Align Cap Iaa Lora Scst
Repository 🤗https://huggingface.co/kkeezz/q-align-cap-iaa-lora-scst 
Required VRAM0.2 GB
Updated2024-08-26
Maintainerkkeezz
Model Files  0.3 GB   0.0 GB   0.2 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesmodel.layers.10.self_attn.v_proj.multiway.1|model.layers.7.self_attn.v_proj.multiway.1|model.layers.19.self_attn.q_proj|model.layers.21.self_attn.q_proj|model.layers.4.self_attn.v_proj.multiway.1|model.layers.6.self_attn.v_proj.multiway.1|model.layers.25.self_attn.q_proj|model.layers.13.self_attn.v_proj.multiway.1|model.layers.29.self_attn.q_proj|model.layers.30.self_attn.v_proj.multiway.1|model.layers.18.self_attn.v_proj.multiway.1|model.layers.0.self_attn.v_proj.multiway.1|model.layers.12.self_attn.v_proj.multiway.1|model.layers.16.self_attn.q_proj|model.layers.2.self_attn.v_proj.multiway.1|model.layers.27.self_attn.v_proj.multiway.1|model.layers.5.self_attn.q_proj|model.layers.22.self_attn.v_proj.multiway.1|model.layers.1.self_attn.q_proj|model.layers.17.self_attn.v_proj.multiway.1|model.layers.12.self_attn.q_proj|model.layers.18.self_attn.q_proj|model.layers.31.self_attn.q_proj|model.layers.10.self_attn.q_proj|model.layers.14.self_attn.q_proj|model.layers.11.self_attn.q_proj|model.layers.27.self_attn.q_proj|model.layers.6.self_attn.q_proj|model.layers.9.self_attn.v_proj.multiway.1|model.layers.8.self_attn.v_proj.multiway.1|model.layers.26.self_attn.v_proj.multiway.1|model.layers.23.self_attn.v_proj.multiway.1|model.layers.20.self_attn.v_proj.multiway.1|model.layers.30.self_attn.q_proj|model.layers.15.self_attn.v_proj.multiway.1|model.layers.9.self_attn.q_proj|model.layers.11.self_attn.v_proj.multiway.1|model.layers.23.self_attn.q_proj|model.layers.1.self_attn.v_proj.multiway.1|model.layers.16.self_attn.v_proj.multiway.1|model.layers.21.self_attn.v_proj.multiway.1|model.layers.5.self_attn.v_proj.multiway.1|model.layers.3.self_attn.q_proj|model.layers.14.self_attn.v_proj.multiway.1|model.layers.25.self_attn.v_proj.multiway.1|model.layers.15.self_attn.q_proj|model.layers.17.self_attn.q_proj|model.layers.28.self_attn.v_proj.multiway.1|model.layers.13.self_attn.q_proj|model.layers.20.self_attn.q_proj|model.layers.24.self_attn.q_proj|model.layers.19.self_attn.v_proj.multiway.1|model.layers.26.self_attn.q_proj|model.layers.28.self_attn.q_proj|model.layers.31.self_attn.v_proj.multiway.1|model.layers.24.self_attn.v_proj.multiway.1|model.layers.7.self_attn.q_proj|model.layers.22.self_attn.q_proj|model.layers.2.self_attn.q_proj|model.layers.8.self_attn.q_proj|model.layers.0.self_attn.q_proj|model.layers.29.self_attn.v_proj.multiway.1|model.layers.3.self_attn.v_proj.multiway.1|model.layers.4.self_attn.q_proj
LoRA Alpha256
LoRA Dropout0.05
R Param128
Q Align Cap Iaa Lora Scst (kkeezz/q-align-cap-iaa-lora-scst)

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

Rank the Q Align Cap Iaa Lora Scst Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v2024072803
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