Ethicalsft by srushtisingh

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Lora   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Ethicalsft Parameters and Internals

LLM NameEthicalsft
RepositoryOpen on ๐Ÿค— 
Model Size7.2b
Required VRAM28.9 GB
Updated2024-07-27
Maintainersrushtisingh
Model Files  0.0 GB   5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
Ethicalsft (srushtisingh/Ethicalsft)

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

Rank the Ethicalsft 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 v2024072501