Napoleon 24B V0.0 by baconnier

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  Arxiv:1910.09700   4bit   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Napoleon 24B V0.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Napoleon 24B V0.0 (baconnier/Napoleon_24B_V0.0)

Napoleon 24B V0.0 Parameters and Internals

LLM NameNapoleon 24B V0.0
Repository ๐Ÿค—https://huggingface.co/baconnier/Napoleon_24B_V0.0 
Model Size24b
Required VRAM47.3 GB
Updated2025-02-22
Maintainerbaconnier
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than baconnier/Napoleon_24B_V0.0.

Rank the Napoleon 24B V0.0 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 v20241227