Aya 23 8B Quantized by jadechoghari

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Aya 23 8B Quantized Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Aya 23 8B Quantized Parameters and Internals

LLM NameAya 23 8B Quantized
Repository ๐Ÿค—https://huggingface.co/jadechoghari/aya-23-8B-quantized 
Model Size8b
Required VRAM8.1 GB
Updated2024-09-08
Maintainerjadechoghari
Model Typecohere
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen fr de es it pt ja ko zh ar el fa pl id cs he hi nl ro ru tr uk vi
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Vocabulary Size256000
Torch Data Typefloat32
Aya 23 8B Quantized (jadechoghari/aya-23-8B-quantized)

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Note: green Score (e.g. "73.2") means that the model is better than jadechoghari/aya-23-8B-quantized.

Rank the Aya 23 8B Quantized 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 v2024072803