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OpenCogito by mrdayl

 »  All LLMs  »  mrdayl  »  OpenCogito   URL Share it on

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  Arxiv:1910.09700 Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-3b-ins...   Conversational   Dataset:cais/mmlu   Dataset:openai/gsm8k   Endpoints compatible   Gguf   Grpo   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/mrdayl/OpenCogito 

OpenCogito Benchmarks

MMLU Pro: 27.24
GPQA: 6.71
MUSR: 11.5
BBH: 26.33
IFEval: 39.34 vs 88 (so35)-55.3%
MATH Lvl 5: 21.83
LLME Score: 0.36684
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCogito (mrdayl/OpenCogito)

OpenCogito Parameters and Internals

LLM NameOpenCogito
Repository 🤗https://huggingface.co/mrdayl/OpenCogito 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2025-03-08
Maintainermrdayl
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   1.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Vocabulary Size151936
Torch Data Typebfloat16

Quantized Models of the OpenCogito

Model
Likes
Downloads
VRAM
OpenCognito01396 GB

Best Alternatives to OpenCogito

Best Alternatives
Context / RAM
Downloads
Likes
OpenCognito R132K / 6.1 GB5920
Coder GRPO 3B32K / 6.2 GB9711
Esbieta Ec Qwen 2.5 3B32K / 6.2 GB633
...2.5 3B Instruct Abliterated V132K / 6.8 GB582
...5 3B Instruct Unsloth Bnb 4bit32K / 2.4 GB1571336
TethysAI Base Reasoning32K / 6.2 GB550
QwQ LCoT 3B Instruct32K / 6.2 GB14813
Kyro N1 3B32K / 6.2 GB174512
Qwen2.5 3B Reasoner32K / 6.2 GB220
Athena 1 3B32K / 6.2 GB411
Note: green Score (e.g. "73.2") means that the model is better than mrdayl/OpenCogito.

Rank the OpenCogito Capabilities

🆘 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! 🌟

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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