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Mixtral AI Cyber 3.0 by LeroyDyer

 »  All LLMs  »  LeroyDyer  »  Mixtral AI Cyber 3.0   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:finetune:leroydyer/... Base model:leroydyer/mixtral a...   Code   Conversational   Cyber-series   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0 

Mixtral AI Cyber 3.0 Benchmarks

ARC: 62.46 vs 96.7 (so35)-35.4%
HellaSwag: 84.02 vs 95.3 (gpt4)-11.8%
MMLU: 61.91 vs 88.3 (so35)-29.9%
TruthfulQA: 58.21 vs 59 (gpt4)-1.3%
WinoGrande: 80.19 vs 87.5 (gpt4)-8.4%
GSM8K: 45.94 vs 96.4 (so35)-52.3%
LLME Score: 0.16211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral AI Cyber 3.0 (LeroyDyer/Mixtral_AI_Cyber_3.0)
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Mixtral AI Cyber 3.0 Parameters and Internals

LLM NameMixtral AI Cyber 3.0
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0 
Base Model(s)  LeroyDyer/Mixtral_AI_Cyber_2.0   LeroyDyer/Mixtral_AI_Cyber_1.0   LeroyDyer/Mixtral_Chat_X_128k   LeroyDyer/Mixtral_instruct   LeroyDyer/Mixtral_AI_Cyber_2.0   LeroyDyer/Mixtral_AI_Cyber_1.0   LeroyDyer/Mixtral_Chat_X_128k   LeroyDyer/Mixtral_instruct
Merged ModelYes
Model Size7.2b
Required VRAM14.3 GB
Updated2024-08-26
MaintainerLeroyDyer
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.9 GB: 8-of-8
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
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_Cyber_3.0.

Rank the Mixtral AI Cyber 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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