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C4 Broken Tutu 24B by ReadyArt

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C4 Broken Tutu 24B is an open-source language model by ReadyArt. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.2.

  Merged Model   Arxiv:2311.03099   Autotrain compatible Base model:readyart/forgotten-... Base model:readyart/omega-dark... Base model:readyart/the-omega-... Base model:thedrummer/cydonia-... Base model:troydoesai/blackshe...   Conversational   En   Endpoints compatible   Erotic   Erp   Explicit   Horror   Mistral   Nsfw   Region:us   Roleplay   Safetensors   Sharded   Tensorflow   Unaligned   Violence
Model Card on HF 🤗: https://huggingface.co/ReadyArt/C4-Broken-Tutu-24B 

C4 Broken Tutu 24B Benchmarks

LLME Score: 0.19506
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
C4 Broken Tutu 24B (ReadyArt/C4-Broken-Tutu-24B)

C4 Broken Tutu 24B Parameters and Internals

LLM NameC4 Broken Tutu 24B
Repository 🤗https://huggingface.co/ReadyArt/C4-Broken-Tutu-24B 
Base Model(s)  ReadyArt/The-Omega-Directive-M-24B-v1.1   Forgotten Safeword 24B   BlackSheep 24B   Cydonia 24B V4   ...Darker The Final Directive 24B   ReadyArt/The-Omega-Directive-M-24B-v1.1   ReadyArt/Forgotten-Safeword-24B   TroyDoesAI/BlackSheep-24B   TheDrummer/Cydonia-24B-v4   ReadyArt/Omega-Darker_The-Final-Directive-24B
Merged ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2025-09-23
MaintainerReadyArt
Model Typemistral
Model Files  4.9 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.8 GB: 10-of-10
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.55.0
Tokenizer ClassLlamaTokenizerFast
Padding Token</s>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ReadyArt/C4-Broken-Tutu-24B.

Rank the C4 Broken Tutu 24B 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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