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GlorIA 1.3B by NOVA-vision-language

 »  All LLMs  »  NOVA-vision-language  »  GlorIA 1.3B   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/NOVA-vision-language/GlorIA-1.3B 

GlorIA 1.3B Benchmarks

LLME Score: 0.14456
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GlorIA 1.3B (NOVA-vision-language/GlorIA-1.3B)

GlorIA 1.3B Parameters and Internals

Model Type 
text generation, foundation model
Use Cases 
Areas:
research, educational applications
Primary Use Cases:
text generation with a focus on European Portuguese content
Limitations:
The usage is restricted to research-only purposes
Additional Notes 
GlórIA is specifically designed for European Portuguese support.
Supported Languages 
Portuguese (Native)
Training Details 
Data Sources:
ArquivoPT News PT-PT Dataset, ClueWeb-Large PT-PT, Europarl PT-PT, OpenSubtitles PT-PT, OSCAR PT-PT, PT WIKI
Data Volume:
approximately 35B tokens
Model Architecture:
GPTNeo with 24 layers and a hidden size of 2048.
Input Output 
Input Format:
Text input prompts
Accepted Modalities:
text
Output Format:
Generated text completion
Performance Tips:
Use recommended generation configuration settings for better performance.
LLM NameGlorIA 1.3B
Repository 🤗https://huggingface.co/NOVA-vision-language/GlorIA-1.3B 
Model Size1.3b
Required VRAM5.4 GB
Updated2025-02-05
MaintainerNOVA-vision-language
Model Typegpt_neo
Model Files  5.4 GB   5.4 GB
Supported Languagespt
Model ArchitectureGPTNeoForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50258
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than NOVA-vision-language/GlorIA-1.3B.

Rank the GlorIA 1.3B 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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