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Aya 23 8B Quantized by jadechoghari

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Model Card on HF 🤗: https://huggingface.co/jadechoghari/aya-23-8B-quantized 

Aya 23 8B Quantized Benchmarks

LLME Score: 0.23021
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 (jadechoghari/aya-23-8B-quantized)

Aya 23 8B Quantized Parameters and Internals

Model Type 
instruction fine-tuned model, multilingual large language model
Additional Notes 
Quality might vary compared to the base model. Efficiency evaluated with specific hardware and configurations.
Supported Languages 
en (English), fr (French), de (German), es (Spanish), it (Italian), pt (Portuguese), ja (Japanese), ko (Korean), zh (Chinese), ar (Arabic), el (Greek), fa (Persian), pl (Polish), id (Indonesian), cs (Czech), he (Hebrew), hi (Hindi), nl (Dutch), ro (Romanian), ru (Russian), tr (Turkish), uk (Ukrainian), vi (Vietnamese)
Input Output 
Input Format:
Command-r-plus chat template
Accepted Modalities:
text
Output Format:
text
LLM NameAya 23 8B Quantized
Repository 🤗https://huggingface.co/jadechoghari/aya-23-8B-quantized 
Model Size8b
Required VRAM8.1 GB
Updated2024-12-21
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

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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 v20241217
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