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Mixtral AI Cyber Child by LeroyDyer

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

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Child 

Mixtral AI Cyber Child Benchmarks

ARC: 63.23 vs 96.7 (so35)-34.6%
HellaSwag: 83.39 vs 95.3 (gpt4)-12.5%
MMLU: 60.07 vs 88.3 (so35)-32%
TruthfulQA: 55.74 vs 59 (gpt4)-5.5%
WinoGrande: 79.16 vs 87.5 (gpt4)-9.5%
GSM8K: 48.6 vs 96.4 (so35)-49.6%
LLME Score: 0.16154
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 Child (LeroyDyer/Mixtral_AI_Cyber_Child)
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Mixtral AI Cyber Child Parameters and Internals

LLM NameMixtral AI Cyber Child
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Child 
Base Model(s)  Local   /Local
Required VRAM14.5 GB
Updated2024-08-02
MaintainerLeroyDyer
Model Typemistral
Model Files  6.0 GB: 1-of-3   5.9 GB: 2-of-3   2.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
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_Cyber_Child.

Rank the Mixtral AI Cyber Child 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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