VAIV KIISE Contest by junghyeon0427

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VAIV KIISE Contest Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VAIV KIISE Contest (junghyeon0427/VAIV-KIISE-contest)

VAIV KIISE Contest Parameters and Internals

Model Type 
generative
Additional Notes 
The model is derived by transforming the Orion model into the standard LLaMA architecture through parameter mapping and offline knowledge transfer.
LLM NameVAIV KIISE Contest
Repository ๐Ÿค—https://huggingface.co/junghyeon0427/VAIV-KIISE-contest 
Model Size14.5b
Required VRAM29 GB
Updated2025-02-22
Maintainerjunghyeon0427
Model Files  0.5 GB   5.0 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length4096
Is Biasedlora_only
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|ffn|down_proj|v_proj|gate_proj|o_proj|k_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param32

Rank the VAIV KIISE Contest Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227