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Mayonnaise 4in1 022 by kaitchup

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  Autotrain compatible   En   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mayonnaise 4in1 022 Benchmarks

ARC: 72.87 vs 96.7 (so35)-24.6%
HellaSwag: 88.63 vs 95.3 (gpt4)-7%
MMLU: 64.93 vs 88.3 (so35)-26.5%
TruthfulQA: 71.73 vs 59 (gpt4)21.6%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 70.51 vs 96.4 (so35)-26.9%
LLME Score: 0.19149
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mayonnaise 4in1 022 Parameters and Internals

LLM NameMayonnaise 4in1 022
Repository 🤗https://huggingface.co/kaitchup/Mayonnaise-4in1-022 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-10-08
Maintainerkaitchup
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mayonnaise 4in1 022 (kaitchup/Mayonnaise-4in1-022)

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Note: green Score (e.g. "73.2") means that the model is better than kaitchup/Mayonnaise-4in1-022.

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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  
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Multi-Language Support and Translation  

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Release v2024072803
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