Openai Community Med E3 by SSahas

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  Adapter   Conversational   Finetuned   Has space   Lora   Region:us   Safetensors

Rank the Openai Community Med E3 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  
Openai Community Med E3 (SSahas/openai_community_med_e3)

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Openai Community Med E3 Parameters and Internals

LLM NameOpenai Community Med E3
RepositoryOpen on ๐Ÿค— 
Required VRAM0 GB
Model Files  0.0 GB   0.0 GB
Model ArchitectureAdapter
Model Max Length1024
Is Biasednone
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
LoRA ModelYes
PEFT Target Modulesc_attn
LoRA Alpha32
LoRA Dropout0.05
R Param32

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024040901