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Cogito Ultima by Daemontatox

 »  All LLMs  »  Daemontatox  »  Cogito Ultima   URL Share it on

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  Autotrain compatible Base model:finetune:novasky-ai... Base model:novasky-ai/sky-t1-3...   Conversational Dataset:magpie-align/magpie-re...   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/Cogito-Ultima 

Cogito Ultima Benchmarks

LLME Score: 0.23096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cogito Ultima (Daemontatox/Cogito-Ultima)

Cogito Ultima Parameters and Internals

LLM NameCogito Ultima
Repository 🤗https://huggingface.co/Daemontatox/Cogito-Ultima 
Base Model(s)  Sky T1 32B Preview   NovaSky-AI/Sky-T1-32B-Preview
Model Size32b
Required VRAM65.8 GB
Updated2025-02-27
MaintainerDaemontatox
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB53
Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB113
Openbuddy Qwq 32B V25.2q 200K195K / 65.8 GB733
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB42
QwQ 32B128K / 65.8 GB4790462751
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB13615641364
Qwen2.5 32B128K / 65.5 GB107536147
Cogito V1 Preview Qwen 32B128K / 65.7 GB12670105
TinyR1 32B Preview128K / 65.6 GB5359327
Skywork OR1 32B Preview128K / 65.8 GB557467
Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/Cogito-Ultima.

Rank the Cogito Ultima 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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