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Maestro 10B by suayptalha

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  Autotrain compatible Base model:arcee-ai/virtuoso-l... Base model:finetune:arcee-ai/v...   Conversational   Dataset:open-orca/openorca   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/suayptalha/Maestro-10B 

Maestro 10B Benchmarks

MMLU Pro: 35.75
GPQA: 11.07
MUSR: 13.83
BBH: 39.54
IFEval: 77.68 vs 88 (so35)-11.7%
MATH Lvl 5: 19.11
LLME Score: 0.36834
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Maestro 10B (suayptalha/Maestro-10B)

Maestro 10B Parameters and Internals

LLM NameMaestro 10B
Repository 🤗https://huggingface.co/suayptalha/Maestro-10B 
Base Model(s)  Virtuoso Lite   arcee-ai/Virtuoso-Lite
Model Size10b
Required VRAM20.5 GB
Updated2025-03-14
Maintainersuayptalha
Model Typellama
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   0.9 GB: 5-of-5   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   0.9 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
Vocabulary Size131072
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than suayptalha/Maestro-10B.

Rank the Maestro 10B 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 v20241227
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