Update README.md

README.md

@@ -20,13 +20,13 @@ tags:
 
 Large time-series model introduced in this [paper](https://arxiv.org/abs/2402.02368) and enhanced with our [further work](https://arxiv.org/abs/2410.04803).
 
-This version is pre-trained on **307B** time points with **84M** parameters, a lightweight generative Transformer with the state-of-the-art performance on zero-shot forecasting:
+This version is pre-trained on **260B** time points with **84M** parameters, a lightweight generative Transformer with the state-of-the-art performance on zero-shot forecasting:
 
 We evaluate the model on the following benchmarks: [TSLib Dataset](), [GIFT-Eval]().
 
 # Quickstart
 ```
-pip install transformers==4.40.1          # please use this version for the stable compatibility
+pip install transformers==4.40.1          # use this version for the stable compatibility
 ```
 
 ```
@@ -57,7 +57,7 @@ A notebook example is also provided [here](https://huggingface.co/thuml/timer-1.
 ## Specification
 
 * Architecture: Causal Transformer (Decoder-only)
-* Pre-training Scale: 307B time points
+* Pre-training Scale: 260B time points
 * Context Length: up to 2880
 * Parameter Count: 84M
 * Patch Length: 96