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Mixtral AI CyberBrain 3 0 by LeroyDyer

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  Merged Model   Autotrain compatible Base model:ezelikman/quietstar... Base model:leroydyer/mixtral a... Base model:leroydyer/mixtral a... Base model:leroydyer/mixtral a... Base model:leroydyer/mixtral a... Base model:leroydyer/mixtral a... Base model:leroydyer/mixtral a...   Custom code   Cyber-series   En   Endpoints compatible   Gguf   License:mit   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_0 

Mixtral AI CyberBrain 3 0 Benchmarks

ARC: 61.52 vs 96.7 (so35)-36.4%
HellaSwag: 84.25 vs 95.3 (gpt4)-11.6%
MMLU: 63.88 vs 88.3 (so35)-27.7%
TruthfulQA: 47.73 vs 59 (gpt4)-19.1%
WinoGrande: 79.48 vs 87.5 (gpt4)-9.2%
GSM8K: 44.2 vs 96.4 (so35)-54.1%
LLME Score: 0.27183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral AI CyberBrain 3 0 (LeroyDyer/Mixtral_AI_CyberBrain_3_0)
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Mixtral AI CyberBrain 3 0 Parameters and Internals

Model Type 
multimodal, instructional, expert model
Use Cases 
Areas:
general use, commercial
Applications:
medical, coding, context expansion
Primary Use Cases:
role play, vision, chat, thinking, generalizing
Additional Notes 
Multiple versions merged using mergekit.
Supported Languages 
en (native)
Training Details 
Methodology:
Mixture of Experts
Model Architecture:
Mistral-7B-Instruct-v0.2 with extended sub-models
Input Output 
Input Format:
text inputs
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Model performs better with GPT-4all. Training with mergekit may improve performance.
LLM NameMixtral AI CyberBrain 3 0
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_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   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
Merged ModelYes
Model Size7.2b
Required VRAM14.5 GB
Updated2024-07-04
MaintainerLeroyDyer
Model Typemistral
Model Files  14.5 GB   4.4 GB   0.0 GB   2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM|QuietForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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SpydazWebAI QuietStar Project32K / 14.5 GB422

Rank the Mixtral AI CyberBrain 3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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