MultiPL-T StarCoder2-15b

This repository holds several StarCoder2-15b fine-tunes, all fine-tuned on MultiPL-T data. Examine the commit message to determine the language and checkpoint. We have a checkpoint for each epoch.

For more information the training process, see the MultiPL-T paper:

@misc{cassano:multipl-t,
      title={Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs}, 
      author={Federico Cassano and John Gouwar and Francesca Lucchetti and Claire Schlesinger and Anders Freeman and Carolyn Jane Anderson and Molly Q Feldman and Michael Greenberg and Abhinav Jangda and Arjun Guha},
      year={2024},
      eprint={2308.09895},
      archivePrefix={arXiv},
      primaryClass={cs.PL}
}

For usage instructions, see the model card for the original model. Replace the model name with the name of this repository, and set revision=COMMIT_HASH.

Downloads last month
1
Safetensors
Model size
16B params
Tensor type
F32
·
Inference API
Model is too large to load in Inference API (serverless). To try the model, launch it on Inference Endpoints (dedicated) instead.

Dataset used to train nuprl/MultiPL-T-StarCoder2_15B

Collection including nuprl/MultiPL-T-StarCoder2_15B