Caramelinho by Bruno

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  Adapter   Adapter-transformers   Custom code Dataset:dominguesm/canarim-ins...   En   Finetuned   Instruct   Lora   Pt   Refinedwebmodel   Region:us

Rank the Caramelinho 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  
Caramelinho (Bruno/Caramelinho)

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

Caramelinho Parameters and Internals

LLM NameCaramelinho
RepositoryOpen on ๐Ÿค— 
Required VRAM0 GB
Updated2024-07-01
MaintainerBruno
Instruction-BasedYes
Model Files  0.5 GB   1.0 GB   0.0 GB   0.0 GB
Supported Languagespt en
Model ArchitectureAdapter
Model Max Length2048
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesquery_key_value|dense|dense_h_to_4h|dense_4h_to_h
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801