A research-oriented Tiny Transformer prototype targeting Generation. The included tiny setup documents defaults and file formats without presenting unverified performance numbers. - The Python file contains the model and runnable example or training entry point. - config.json records the generated architecture settings. - trainingargs.json records the default experiment recipe. - model.safetensors is a valid initialization checkpoint for smoke tests; it is not presented as a trained benchmark checkpoint. - No benchmark score is claimed in this repository. The included configuration uses adam with a polynomial schedule. These are starting values in the script, not evidence of a completed…
Independent publisher
Ashish K. Singh
singhashishbury
Interested in machine learning, NLP and open source AI.
Models in Library1
Datasets in Library0
Models on Hugging Face2
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