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Mixtral AI CyberTron by LeroyDyer

 »  All LLMs  »  LeroyDyer  »  Mixtral AI CyberTron   URL Share it on

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  Arxiv:2203.05482   Autotrain compatible   Conversational   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron 

Mixtral AI CyberTron Benchmarks

ARC: 62.03 vs 96.7 (so35)-35.9%
HellaSwag: 82.22 vs 95.3 (gpt4)-13.7%
MMLU: 62.1 vs 88.3 (so35)-29.7%
TruthfulQA: 61.22 vs 59 (gpt4)3.8%
WinoGrande: 77.03 vs 87.5 (gpt4)-12%
GSM8K: 47.54 vs 96.4 (so35)-50.7%
LLME Score: 0.20507
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral AI CyberTron (LeroyDyer/Mixtral_AI_CyberTron)

Mixtral AI CyberTron Parameters and Internals

Model Type 
pre-trained language model
Additional Notes 
Created using mergekit with the specified YAML configuration.
Training Details 
Methodology:
Merged using linear merge method
LLM NameMixtral AI CyberTron
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron 
Base Model(s)  LeroyDyer/Mixtral_AI_CyberTron_M4   LeroyDyer/Mixtral_AI_CyberTron_M3   LeroyDyer/Mixtral_AI_CyberTron_M4   LeroyDyer/Mixtral_AI_CyberTron_M3
Model Size7.2b
Required VRAM28.9 GB
Updated2024-12-22
MaintainerLeroyDyer
Model Typemistral
Model Files  4.9 GB: 1-of-3   1.9 GB: 1-of-8   5.0 GB: 2-of-3   2.0 GB: 2-of-8   4.5 GB: 3-of-3   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   0.9 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Mixtral AI CyberTron 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 v20241217
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