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Mayonnaise 4in1 02 by kaitchup

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Mayonnaise 4in1 02 Benchmarks

ARC: 72.95-24.2%
HellaSwag: 88.29-7.4%
MMLU: 64.76-25.1%
TruthfulQA: 68.7916.6%
WinoGrande: 83.58-4.5%
GSM8K: 69.98-23.9%
nn.n% — How the model compares to the GPT-4.

Mayonnaise 4in1 02 Parameters and Internals

LLM NameMayonnaise 4in1 02
RepositoryOpen on 🤗 
Base Model(s)  Mayonnaise 4in1 03   kaitchup/Mayonnaise-4in1-03
Model Size7.2b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerkaitchup
Model Typemistral
Model Files  14.5 GB   4.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mayonnaise 4in1 02 (kaitchup/Mayonnaise-4in1-02)

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AI Tutor0.232K / 14.5 GB60
Rezephyr DPO0.232K / 14.4 GB80
Note: green Score (e.g. "73.2") means that the model is better than kaitchup/Mayonnaise-4in1-02.

Rank the Mayonnaise 4in1 02 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 v2024072501
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