Mayo by Eric111

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Mayo is an open-source language model by Eric111. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 73.1, LLM Explorer Score: 0.13, Arc: 70.1, HellaSwag: 86.3, MMLU: 65.6, TruthfulQA: 60.9, WinoGrande: 82.2, GSM8K: 73.4.

  Merged Model   Conversational   Endpoints compatible   Mistral   Mlabonne/neuralbeagle14-7b   Openchat/openchat-3.5-0106   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Eric111/Mayo 

Mayo Benchmarks

Mayo Parameters and Internals

Additional Notes 
Mayo is a model created by merging two models: mlabonne/NeuralBeagle14-7B and openchat/openchat-3.5-0106 using a tool called mergekit. Specific layer ranges and parameters for the merge were used.
LLM NameMayo
Repository 🤗https://huggingface.co/Eric111/Mayo 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-04-23
MaintainerEric111
Model Typemistral
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   1.9 GB: 4-of-8   2.0 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

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

Rank the Mayo 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 v20260328a