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Peagle 9B by eldogbbhed

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  Merged Model   Autotrain compatible   Conversational   Eldogbbhed/neuralpearlbeagle   Endpoints compatible   Mistral   Mlabonne/neuralbeagle14-7b   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/eldogbbhed/Peagle-9b 

Peagle 9B Benchmarks

ARC: 71.5 vs 96.7 (so35)-26.1%
HellaSwag: 87.34 vs 95.3 (gpt4)-8.4%
MMLU: 64.36 vs 88.3 (so35)-27.1%
TruthfulQA: 70.16 vs 59 (gpt4)18.9%
WinoGrande: 80.35 vs 87.5 (gpt4)-8.2%
GSM8K: 66.11 vs 96.4 (so35)-31.4%
LLME Score: 0.19092
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Peagle 9B (eldogbbhed/Peagle-9b)
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Peagle 9B Parameters and Internals

LLM NamePeagle 9B
Repository 🤗https://huggingface.co/eldogbbhed/Peagle-9b 
Merged ModelYes
Model Size9b
Required VRAM18 GB
Updated2025-09-29
Maintainereldogbbhed
Model Typemistral
Model Files  2.0 GB: 1-of-10   1.9 GB: 2-of-10   2.0 GB: 3-of-10   1.9 GB: 4-of-10   2.0 GB: 5-of-10   2.0 GB: 6-of-10   1.9 GB: 7-of-10   2.0 GB: 8-of-10   1.9 GB: 9-of-10   0.4 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Peagle 9B 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 v20241124
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