Mauricio-100/locgi
TEXT GENERATIONConcurrency Cost:1Model Size:0.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 25, 2026License:mitArchitecture:Transformer Open Weights Cold
Mauricio-100/locgi is a 0.5 billion parameter character-level language model developed by Mauricio-100. Trained on a French corpus, this model is designed for tasks requiring character-level understanding and generation. It features a 32,768 token context length, making it suitable for processing relatively long sequences at a granular level.
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Locgi: A Character-Level French Language Model
Locgi is a compact language model developed by Mauricio-100, specifically designed to operate at the character level. Unlike many larger models that process words or subwords, Locgi focuses on individual characters, making it unique for certain linguistic tasks, particularly within the French language.
Key Capabilities
- Character-Level Processing: Operates directly on characters, offering fine-grained control over text generation and analysis.
- French Corpus Training: Trained exclusively on a French corpus, ensuring proficiency in the language's character patterns and structures.
- Compact Size: With approximately 150,000 parameters, it is a very small model, suitable for resource-constrained environments or specific research into character-level modeling.
- Configurable Architecture: Features a 50-character vocabulary, 64-dimensional embeddings, and 128 hidden units, providing a clear insight into its internal structure.
Good For
- Experimental Character-Level NLP: Ideal for researchers exploring the capabilities and limitations of character-level language models.
- Resource-Constrained Applications: Its small size makes it suitable for deployment where computational resources are limited.
- French Text Generation/Analysis: Specifically tailored for tasks involving French text where character-level precision is paramount.