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Bode 7B Alpaca Pt Br by recogna-nlp

 »  All LLMs  »  recogna-nlp  »  Bode 7B Alpaca Pt Br   URL Share it on

  144   
  Arxiv:2401.02909   Adapter   Alpaca   Bode   Doi:10.57967/hf/1298   En   Finetuned   Llama 2   Lora   Model-index   Peft   Portuguese   Pt   Q&a   Region:us
Model Card on HF 🤗: https://huggingface.co/recogna-nlp/bode-7b-alpaca-pt-br 

Bode 7B Alpaca Pt Br Benchmarks

LLME Score: 0.11697
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bode 7B Alpaca Pt Br (recogna-nlp/bode-7b-alpaca-pt-br)
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Bode 7B Alpaca Pt Br Parameters and Internals

Model Type 
text generation, natural language processing
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Text generation, Translation, Summarization
Limitations:
Limited availability of Portuguese datasets
Additional Notes 
Bode is targeted towards improving Portuguese language processing capabilities.
Supported Languages 
pt (native), en (supported)
Training Details 
Data Sources:
Alpaca, Supercomputador Santos Dumont Dataset
Data Volume:
Not explicitly detailed
Methodology:
Fine-tuning from Llama 2
Training Time:
Not explicitly detailed
Hardware Used:
Supercomputador Santos Dumont
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Text output
Performance Tips:
Utilize Kaggle with GPU for optimal performance.
LLM NameBode 7B Alpaca Pt Br
Repository 🤗https://huggingface.co/recogna-nlp/bode-7b-alpaca-pt-br 
Model Size7b
Required VRAM0 GB
Updated2025-09-23
Maintainerrecogna-nlp
Model Files  0.0 GB
Supported Languagespt en
Model ArchitectureAdapter
Licensemit
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than recogna-nlp/bode-7b-alpaca-pt-br.

Rank the Bode 7B Alpaca Pt Br 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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