Updated Context length precision

README.md

@@ -186,7 +186,7 @@ Play with the model on the [SantaCoder Space Demo](https://huggingface.co/spaces
 # Model Summary
 
 The SantaCoder models are a series of 1.1B parameter models trained on the Python, Java, and JavaScript subset of [The Stack (v1.1)](https://huggingface.co/datasets/bigcode/the-stack) (which excluded opt-out requests). 
-The main model uses [Multi Query Attention](https://arxiv.org/abs/1911.02150), a context window of 2k tokens, and was trained using near-deduplication and comment-to-code ratio as filtering criteria and using the [Fill-in-the-Middle objective](https://arxiv.org/abs/2207.14255).
+The main model uses [Multi Query Attention](https://arxiv.org/abs/1911.02150), a context window of 2048 tokens, and was trained using near-deduplication and comment-to-code ratio as filtering criteria and using the [Fill-in-the-Middle objective](https://arxiv.org/abs/2207.14255).
 In addition there are several models that were trained on datasets with different filter parameters and with architecture and objective variations. 
 
 - **Repository:** [bigcode/Megatron-LM](https://github.com/bigcode-project/Megatron-LM)