Create README.md

README.md

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+1B-parameter models trained on Python-only datasets. In the different branches, models are trained on different versions of the Stack:
+- stack v1
+- stack v2 - permissive
+- stack v2 - permissive and unlicensed
+
+24 layers, a hidden-size of 2048 and 16 attention heads (multiquery). 
+The learning-rate is set to $4\times10^{-4}$ after a warmup of $1000$ steps and follows a cosine decay to $4\times10^{-5}$ at the end of training.
+Trained with a batch size of 128 samples of 8192 tokens each, for $100$k iterations, such that the model sees $100$B tokens at the end of training.
+We use a FIM-rate of $0.5$, the same tokenizer as StarCoder (except for tokenizer ablations) and learned absolute positional embeddings.