Sinhala GPT Neo Siwiki by Suchinthana

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Sinhala GPT Neo Siwiki is an open-source language model by Suchinthana. Features: 125m LLM, VRAM: 0.6GB, Context: 2K, License: mit, LLM Explorer Score: 0.06.

  Autotrain compatible   Dataset:wikipedia   Endpoints compatible   Gpt neo   Pytorch   Region:us   Safetensors   Si

Sinhala GPT Neo Siwiki Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sinhala GPT Neo Siwiki (Suchinthana/sinhala-gpt-neo-siwiki)
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Sinhala GPT Neo Siwiki Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
Sinhala text generation
Additional Notes 
This model was fine-tuned for Sinhala text generation using a dataset comprising of Sinhala Wikipedia articles with specific word count criteria.
Supported Languages 
si (high)
Training Details 
Data Sources:
Sinhala Wikipedia Dataset
Data Volume:
Articles with word count between 60 and 500
Input Output 
Accepted Modalities:
text
Output Format:
generated text
LLM NameSinhala GPT Neo Siwiki
Repository ๐Ÿค—https://huggingface.co/Suchinthana/sinhala-gpt-neo-siwiki 
Model Size125m
Required VRAM0.6 GB
Updated2025-09-23
MaintainerSuchinthana
Model Typegpt_neo
Model Files  0.6 GB   0.6 GB
Supported Languagessi
Model ArchitectureGPTNeoForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.20.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Suchinthana/sinhala-gpt-neo-siwiki.

Rank the Sinhala GPT Neo Siwiki 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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Release v20260328a