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Phi Bode by recogna-nlp

 »  All LLMs  »  recogna-nlp  »  Phi Bode   URL Share it on

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  Alpaca   Bode   Custom code   Doi:10.57967/hf/1880   En   Model-index   Peft   Phi   Phi-2b   Portuguese   Pt   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/recogna-nlp/Phi-Bode 

Phi Bode Benchmarks

LLME Score: 0.16941
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi Bode (recogna-nlp/Phi-Bode)

Phi Bode Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text generation, Natural Language Processing (NLP)
Applications:
text summarization, text classification
Primary Use Cases:
Portuguese NLP tasks
Limitations:
current issues in generating complex text in Portuguese
Additional Notes 
Development focused on making a Portuguese LLM accessible for those with less computational resources. The model includes a merge of quantized and base versions to optimize quality while reducing computational demands.
Supported Languages 
pt (high proficiency), en (high proficiency)
Training Details 
Data Sources:
Alpaca translated to Portuguese
Methodology:
fine-tuning using LoRa
Input Output 
Input Format:
prompt-based input with template instructions
Accepted Modalities:
text
Output Format:
text
LLM NamePhi Bode
Repository 🤗https://huggingface.co/recogna-nlp/Phi-Bode 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-02-22
Maintainerrecogna-nlp
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagespt en
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than recogna-nlp/Phi-Bode.

Rank the Phi Bode 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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Release v20241227
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