Update README.md

README.md

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 ## Model description
 
-**Stockmark-2-100B-Instruct** is a 100-billion-parameter large language model built from scratch, with a particular focus on Japanese. It was pre-trained on approximately 2.0 trillion tokens of data, consisting of 60% English, 30% Japanese, and 10% code. Following pretraining, the model underwent post-training (SFT and DPO) with synthetic data in Japanese to enhance its ability to follow instructions.
+**Stockmark-2-100B-Instruct** is a 100-billion-parameter large language model built from scratch, with a particular focus on Japanese. It was pre-trained on approximately 2.0 trillion tokens of data, consisting of 60% English, 30% Japanese, and 10% code. Following pretraining, the model underwent post-training (SFT and DPO) with synthetic data in Japanese to enhance its ability to follow instructions. Compared to the previous version ([Stockmark-2-100B-Instruct-beta](https://huggingface.co/stockmark/Stockmark-2-100B-Instruct-beta)), the instruction following ability is improved.
 
 This project was supported by [GENIAC](https://www.meti.go.jp/policy/mono_info_service/geniac/index.html).
 
+## Features
+
+- Model Type: Causal Language Model
+- Number of Parameters: 96B
+- Number of Layers: 86
+- Number of Attention Heads (GQA): 72 for Q and 8 for KV
+- Context Length: 32k
+- Supported Languages: Japanese and English
+
+## Evaluation
+
 ## How to use
 
 ### transformers