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Phi Bode 2 Ultraalpaca by recogna-nlp

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Phi Bode 2 Ultraalpaca is an open-source language model by recogna-nlp. Features: 2.8b LLM, VRAM: 5.6GB, Context: 2K, License: mit, LLM Explorer Score: 0.13.

  Custom code   Endpoints compatible   Model-index   Phi   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/recogna-nlp/phi-bode-2-ultraalpaca 

Phi Bode 2 Ultraalpaca Benchmarks

LLME Score: 0.12802
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi Bode 2 Ultraalpaca (recogna-nlp/phi-bode-2-ultraalpaca)
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Phi Bode 2 Ultraalpaca Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is a fine-tuned version of the Phi-2B model, tailored for the Portuguese language. It encompasses language tasks such as textual generation, reflecting the adaptation capabilities of large language models for specific languages/trained applications.
Supported Languages 
Portuguese (primary)
Training Details 
Data Sources:
UltraAlpaca, public datasets such as ENEM Challenge, BLUEX, OAB Exams, Assin2, FaQuAD NLI, HateBR, etc.
Methodology:
Fine-tuning
LLM NamePhi Bode 2 Ultraalpaca
Repository 🤗https://huggingface.co/recogna-nlp/phi-bode-2-ultraalpaca 
Model Size2.8b
Required VRAM5.6 GB
Updated2026-04-08
Maintainerrecogna-nlp
Model Typephi
Model Files  2.0 GB: 1-of-3   2.0 GB: 2-of-3   1.6 GB: 3-of-3   2.0 GB: 1-of-3   2.0 GB: 2-of-3   1.6 GB: 3-of-3
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.39.1
Tokenizer ClassCodeGenTokenizer
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-2-ultraalpaca.

Rank the Phi Bode 2 Ultraalpaca Capabilities

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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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