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CatunaMayo by Eric111

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  Merged Model   Autotrain compatible   Endpoints compatible   Eric111/alphamayo   Eric111/catunabeagle   Mistral   Region:us   Safetensors   Sharded   Tensorflow

CatunaMayo Benchmarks

MMLU Pro: 24.2
GPQA: 5.59
MUSR: 15.35
BBH: 33.3
IFEval: 40.74 vs 88 (so35)-53.7%
ARC: 71.76 vs 96.7 (so35)-25.8%
HellaSwag: 87.9 vs 95.3 (gpt4)-7.8%
MMLU: 65.21 vs 88.3 (so35)-26.1%
TruthfulQA: 69.96 vs 59 (gpt4)18.6%
WinoGrande: 82.56 vs 87.5 (gpt4)-5.6%
GSM8K: 72.33 vs 96.4 (so35)-25%
MATH Lvl 5: 7.7
LLME Score: 0.26432
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CatunaMayo Parameters and Internals

LLM NameCatunaMayo
Repository 🤗https://huggingface.co/Eric111/CatunaMayo 
Merged ModelYes
Model Size7.2b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerEric111
Model Typemistral
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   2.0 GB: 7-of-8   0.9 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
CatunaMayo (Eric111/CatunaMayo)

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Note: green Score (e.g. "73.2") means that the model is better than Eric111/CatunaMayo.

Rank the CatunaMayo 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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Release v2024072803
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