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Bode 7B Alpaca Pt Br Gguf by recogna-nlp

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Bode 7B Alpaca Pt Br Gguf is an open-source language model by recogna-nlp. Features: 7b LLM, VRAM: 3.8GB, License: mit, Quantized, LLM Explorer Score: 0.12.

  Arxiv:2401.02909   Alpaca   Bode   Conversational   En   Gguf   Llama   Llama 2   Portuguese   Pt   Q4   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/recogna-nlp/bode-7b-alpaca-pt-br-gguf 

Bode 7B Alpaca Pt Br Gguf Benchmarks

LLME Score: 0.12377
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 Gguf (recogna-nlp/bode-7b-alpaca-pt-br-gguf)
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Bode 7B Alpaca Pt Br Gguf Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Text generation, Automatic translation, Text summarization
Additional Notes 
The Bode model is designed to address the lack of language models specifically for the Portuguese language, with versions available in various bit formats supporting inference on both CPU and GPU.
Supported Languages 
pt (native), en (secondary)
Training Details 
Data Sources:
Alpaca dataset
Methodology:
Fine-tuning
Hardware Used:
Supercomputador Santos Dumont
Model Architecture:
LLM
LLM NameBode 7B Alpaca Pt Br Gguf
Repository 🤗https://huggingface.co/recogna-nlp/bode-7b-alpaca-pt-br-gguf 
Model Size7b
Required VRAM3.8 GB
Updated2026-03-29
Maintainerrecogna-nlp
Model Typellama
Model Files  13.5 GB   27.0 GB   3.8 GB   4.1 GB   4.8 GB   7.2 GB
Supported Languagespt en
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k|q5_k
Model ArchitectureAutoModel
Licensemit

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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-gguf.

Rank the Bode 7B Alpaca Pt Br Gguf 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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