architectures/polycoder.md

PolyCoder uses GPT2 architecture, with BPE tokenizer trained on a random 5% subset of the data (all languages), and a context length of 2048. To study the effect of scaling of model size, the odel was trained in 3 different sizes.

Model	# parameters
GPT2	160M
GPT2	400M
GPT2	2.7B

PolyCoder is currently being integrated in 🤗 transformers. Meanwhile it can be loaded following the instructions in the original GitHub repo.