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Paya by myrkur

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  5   
  Autotrain compatible   Cohere   Conversational Dataset:myrkur/persian-alpaca-...   En   Endpoints compatible   Fa   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/myrkur/paya 

Paya Benchmarks

LLME Score: 0.20098
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Paya (myrkur/paya)

Paya Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (English), fa (Persian)
Training Details 
Data Sources:
myrkur/persian-alpaca-deep-clean
Methodology:
Supervised finetuning using the DORA method
LLM NamePaya
Repository 🤗https://huggingface.co/myrkur/paya 
Model Size8b
Required VRAM16 GB
Updated2024-12-21
Maintainermyrkur
Model Typecohere
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesfa en
Model ArchitectureCohereForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassCohereTokenizer
Padding Token<|END_OF_TURN_TOKEN|>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than myrkur/paya.

Rank the Paya Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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