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Mayonnaise 4in1 03 by kaitchup

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  Autotrain compatible   En   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kaitchup/Mayonnaise-4in1-03 

Mayonnaise 4in1 03 Benchmarks

ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 88.29 vs 95.3 (gpt4)-7.4%
MMLU: 64.76 vs 88.3 (so35)-26.7%
TruthfulQA: 68.79 vs 59 (gpt4)16.6%
WinoGrande: 83.58 vs 87.5 (gpt4)-4.5%
GSM8K: 69.98 vs 96.4 (so35)-27.4%
LLME Score: 0.1792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mayonnaise 4in1 03 (kaitchup/Mayonnaise-4in1-03)

Mayonnaise 4in1 03 Parameters and Internals

Model Type 
Causal
Supported Languages 
English (NLP)
LLM NameMayonnaise 4in1 03
Repository 🤗https://huggingface.co/kaitchup/Mayonnaise-4in1-03 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-12-26
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

Quantized Models of the Mayonnaise 4in1 03

Model
Likes
Downloads
VRAM
Mayonnaise 4in1 02011314 GB

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Note: green Score (e.g. "73.2") means that the model is better than kaitchup/Mayonnaise-4in1-03.

Rank the Mayonnaise 4in1 03 Capabilities

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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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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