Tamillama Tiny 30M by RajuKandasamy

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  Arxiv:2305.07759   Autotrain compatible Dataset:roneneldan/tinystories...   En   Endpoints compatible   Ggml   Llama   Pytorch   Quantized   Region:us   Safetensors   Ta

Tamillama Tiny 30m Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tamillama Tiny 30M (RajuKandasamy/tamillama_tiny_30m)

Tamillama Tiny 30M Parameters and Internals

Model Type 
text generation, translation
Additional Notes 
This is a toy model for researchers, students, and LLM enthusiasts.
Supported Languages 
Tamil (Fluent), English (Moderate)
Training Details 
Data Sources:
roneneldan/TinyStoriesInstruct
Context Length:
512
Model Architecture:
LLaMA
Input Output 
Accepted Modalities:
text
Performance Tips:
Set max_new_tokens > 512 for translation feature.
LLM NameTamillama Tiny 30m
Repository ๐Ÿค—https://huggingface.co/RajuKandasamy/tamillama_tiny_30m 
Model Size30m
Required VRAM0.1 GB
Updated2025-06-02
MaintainerRajuKandasamy
Model Typellama
Model Files  0.1 GB   0.1 GB   0.1 GB
Supported Languagesta en
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureLlamaForCausalLM
Licensegpl
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than RajuKandasamy/tamillama_tiny_30m.

Rank the Tamillama Tiny 30M 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 v20241227