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ChaoticSoliloquy 4x8B by xxx777xxxASD

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/xxx777xxxASD/ChaoticSoliloquy-4x8B 

ChaoticSoliloquy 4x8B Benchmarks

ARC: 62.03 vs 96.7 (so35)-35.9%
HellaSwag: 81.29 vs 95.3 (gpt4)-14.7%
MMLU: 66.46 vs 88.3 (so35)-24.7%
TruthfulQA: 51.72 vs 59 (gpt4)-12.3%
WinoGrande: 76.16 vs 87.5 (gpt4)-13%
GSM8K: 63.99 vs 96.4 (so35)-33.6%
LLME Score: 0.17601
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ChaoticSoliloquy 4x8B (xxx777xxxASD/ChaoticSoliloquy-4x8B)
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ChaoticSoliloquy 4x8B Parameters and Internals

Model Type 
text generation, multimodal, mixture of experts (MoE)
Additional Notes 
Experimental RP-oriented MoE model compared to Mixtral 8x7B for RP/ERP tasks.
Supported Languages 
languages_supported (en), proficiency_level ()
Training Details 
Methodology:
MoE (Mixture of Experts) with experimental RP-oriented fine-tuning.
Input Output 
Input Format:
Llama 3
Accepted Modalities:
text, multimodal
LLM NameChaoticSoliloquy 4x8B
Repository 🤗https://huggingface.co/xxx777xxxASD/ChaoticSoliloquy-4x8B 
Model Size24.9b
Required VRAM50 GB
Updated2025-09-08
Maintainerxxx777xxxASD
Model Typemixtral
Model Files  9.9 GB: 1-of-6   10.0 GB: 2-of-6   10.0 GB: 3-of-6   9.9 GB: 4-of-6   9.1 GB: 5-of-6   1.1 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than xxx777xxxASD/ChaoticSoliloquy-4x8B.

Rank the ChaoticSoliloquy 4x8B 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 v20241124
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