Chivoom by platzi

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  Alpaca   Bloom   Dataset:tatsu-lab/alpaca   En   Es   Lora   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/platzi/chivoom 

Chivoom Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Chivoom Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
IMPORTANT: This is just a PoC and still WIP!
Supported Languages 
es (primary), en (secondary)
Training Details 
Data Sources:
Stanford's Alpaca Dataset (translated to Spanish)
Data Volume:
52,000 instructions
Methodology:
The adapter was created using the PEFT library and used the LoRA method for fine-tuning.
LLM NameChivoom
Repository ๐Ÿค—https://huggingface.co/platzi/chivoom 
Required VRAM0 GB
Updated2024-12-02
Maintainerplatzi
Model Files  0.0 GB
Supported Languageses en
Model ArchitectureAutoModel
Licensebigscience-bloom-rail-1.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesquery_key_value
LoRA Alpha32
LoRA Dropout0.05
R Param16
Chivoom (platzi/chivoom)

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

Rank the Chivoom 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124