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README.md

@@ -28,11 +28,11 @@ All models in the series achieve **HellaSwag benchmark scores that surpass those
 **ChronoGPT** has the following features:
 - Type: Causal Language Models
 - Training Stage: Pretraining
-- Number of Parameters: ~124 Million
-- Encoder & Decoder Partitioning: 6 encoder and 6 decoder layers
+- Number of Parameters: ~1,552 Million
+- Encoder & Decoder Partitioning: 26 encoder and 26 decoder layers
 - Tokenizer: GPT2Tokenizer from HuggingFace
 - Context Length: 1,792
-- Embedding Dimension: 768
+- Embedding Dimension: 1,536
 
 ## 🚀 Quickstart