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OpenCognito R1 by mrdayl

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Model Card on HF 🤗: https://huggingface.co/mrdayl/OpenCognito-r1 

OpenCognito R1 Benchmarks

MMLU Pro: 27.5
GPQA: 6.6
MUSR: 11.78
BBH: 25.6
IFEval: 42.41 vs 88 (so35)-51.8%
MATH Lvl 5: 19.03
LLME Score: 0.37595
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCognito R1 (mrdayl/OpenCognito-r1)

OpenCognito R1 Parameters and Internals

LLM NameOpenCognito R1
Repository 🤗https://huggingface.co/mrdayl/OpenCognito-r1 
Base Model(s)  unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit   unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
Model Size3b
Required VRAM6.1 GB
Updated2025-03-13
Maintainermrdayl
Model Typeqwen2
Instruction-BasedYes
Model Files  4.4 GB: 1-of-2   1.7 GB: 2-of-2   1.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Rank the OpenCognito R1 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 v20241227
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