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Phibode 3 Mini 4K Ultraalpaca by recogna-nlp

 »  All LLMs  »  recogna-nlp  »  Phibode 3 Mini 4K Ultraalpaca   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/recogna-nlp/phibode-3-mini-4k-ultraalpaca 

Phibode 3 Mini 4K Ultraalpaca Benchmarks

LLME Score: 0.14963
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phibode 3 Mini 4K Ultraalpaca (recogna-nlp/phibode-3-mini-4k-ultraalpaca)
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Phibode 3 Mini 4K Ultraalpaca Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
The model is a work in progress and still presents issues in generating text in Portuguese.
Additional Notes 
Designed for users with limited computational resources.
Supported Languages 
Portuguese (refined for Portuguese language)
Training Details 
Data Sources:
UltraAlpaca dataset translated for Portuguese
Methodology:
LoRa fine-tuning
Input Output 
Input Format:
Expected input roles: system, user
Accepted Modalities:
text
Output Format:
Generated text
LLM NamePhibode 3 Mini 4K Ultraalpaca
Repository 🤗https://huggingface.co/recogna-nlp/phibode-3-mini-4k-ultraalpaca 
Model Size3.8b
Required VRAM15.4 GB
Updated2025-09-23
Maintainerrecogna-nlp
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.4 GB: 4-of-4
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than recogna-nlp/phibode-3-mini-4k-ultraalpaca.

Rank the Phibode 3 Mini 4K 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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