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Mixtral AI Cyber Matrix 2 0 by LeroyDyer

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  Autotrain compatible Base model:finetune:koboldai/m... Base model:koboldai/mistral-7b...   Code   Conversational   Cyber-series Dataset:cognitivecomputations/...   Dataset:gate369/alpaca-star Dataset:gate369/alpaca-star-as...   Dataset:open-orca/openorca Dataset:whiterabbitneo/wrn-cha... Dataset:whiterabbitneo/wrn-cha...   En   Endpoints compatible   Megamerge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0 

Mixtral AI Cyber Matrix 2 0 Benchmarks

ARC: 62.12 vs 96.7 (so35)-35.8%
HellaSwag: 83.48 vs 95.3 (gpt4)-12.4%
MMLU: 62.53 vs 88.3 (so35)-29.2%
TruthfulQA: 52.73 vs 59 (gpt4)-10.6%
WinoGrande: 78.14 vs 87.5 (gpt4)-10.7%
GSM8K: 46.17 vs 96.4 (so35)-52.1%
LLME Score: 0.21118
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mixtral AI Cyber Matrix 2 0 Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
commercial, research
Applications:
coding, role play, CHAT, Generalizing, Thinking
Primary Use Cases:
Medical inference, Long-context data handling
Limitations:
Hidden functionality requires specific configuration
Additional Notes 
This model integrates multiple expert models into a versatile framework suitable for various applications.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
Open-Orca/OpenOrca, cognitivecomputations/dolphin, WhiteRabbitNeo/WRN-Chapter-2, WhiteRabbitNeo/WRN-Chapter-1, gate369/Alpaca-Star, gate369/alpaca-star-ascii
Context Length:
128000
Model Architecture:
Mixture of Experts (MoE) with advanced routing mechanisms
Input Output 
Input Format:
Various depending on the sub-model utilized.
Accepted Modalities:
text, vision, sound
Output Format:
Textual and potentially multimodal.
Performance Tips:
Use the model in the correct train configuration to unlock additional tensors.
LLM NameMixtral AI Cyber Matrix 2 0
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0 
Base Model(s)  LeroyDyer/Mixtral_AI_Multi_TEST   LeroyDyer/Mixtral_AI_Cyber_Dolphin_2.0   LeroyDyer/Mixtral_AI_CyberLAW   Mixtral AI CyberBrain 3 0   LeroyDyer/Mixtral_AI_Cyber_5.0   LeroyDyer/Mixtral_AI_CyberBrain_2.0   Quietstar 8 Ahead   Mistral 7B Erebus V3   LeroyDyer/Mixtral_AI_Multi_TEST   LeroyDyer/Mixtral_AI_Cyber_Dolphin_2.0   LeroyDyer/Mixtral_AI_CyberLAW   LeroyDyer/Mixtral_AI_CyberBrain_3_0   LeroyDyer/Mixtral_AI_Cyber_5.0   LeroyDyer/Mixtral_AI_CyberBrain_2.0   ezelikman/quietstar-8-ahead   KoboldAI/Mistral-7B-Erebus-v3
Model Size7b
Required VRAM14.5 GB
Updated2024-12-03
MaintainerLeroyDyer
Model Typemistral
Model Files  5.9 GB: 1-of-3   5.9 GB: 2-of-3   2.7 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Mixtral AI Cyber Matrix 2 0 (LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0)

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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0.

Rank the Mixtral AI Cyber Matrix 2 0 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 v20241124
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