Cognitivess by CognitivessAI

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Cognitivess Benchmarks

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

LLM NameCognitivess
Repository ๐Ÿค—https://huggingface.co/CognitivessAI/cognitivess 
Model Size8b
Required VRAM11.2 GB
Updated2025-01-24
MaintainerCognitivessAI
Model TypeCognitivessForCausalLM
Model Files  0.0 GB   5.0 GB: 1-of-3   4.1 GB: 2-of-3   2.1 GB: 3-of-3
Supported Languagesen ro
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
Cognitivess (CognitivessAI/cognitivess)

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Note: green Score (e.g. "73.2") means that the model is better than CognitivessAI/cognitivess.

Rank the Cognitivess 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124