Update README.md

README.md

@@ -13,7 +13,36 @@ This model is trained through the approach described in [DMRetriever: A Family o
 The associated GitHub repository is available [here](https://github.com/KaiYin97/DMRETRIEVER).
 This model has 335M parameters and it is the pre-trained version (trained using only unlabeled dataset containing in-batch negative).
 
-## Usage
+## 🧠 Model Overview
+
+**DMRetriever-335M-PT** has the following features:
+
+- Model Type: Text Embedding
+- Supported Languages: English
+- Number of Paramaters: 335M
+- Embedding Dimension: 1024
+
+For more details, including model training, benchmark evaluation, and inference performance, please refer to our [paper](https://www.arxiv.org/abs/2510.15087), [GitHub](https://github.com/KaiYin97/DMRETRIEVER).
+
+## 📦 DMRetriever Series Model List
+
+| **Model** | **Description** | **Backbone** | **Backbone Type** | **Hidden Size** | **#Layers** |
+|:--|:--|:--|:--|:--:|:--:|
+| [DMRetriever-33M](https://huggingface.co/DMIR01/DMRetriever-33M) | Base 33M variant | MiniLM | Encoder-only | 384 | 12 |
+| [DMRetriever-33M-PT](https://huggingface.co/DMIR01/DMRetriever-33M-PT) | Pre-trained version of 33M | MiniLM | Encoder-only | 384 | 12 |
+| [DMRetriever-109M](https://huggingface.co/DMIR01/DMRetriever-109M) | Base 109M variant | BERT-base-uncased | Encoder-only | 768 | 12 |
+| [DMRetriever-109M-PT](https://huggingface.co/DMIR01/DMRetriever-109M-PT) | Pre-trained version of 109M | BERT-base-uncased | Encoder-only | 768 | 12 |
+| [DMRetriever-335M](https://huggingface.co/DMIR01/DMRetriever-335M) | Base 335M variant | BERT-large-uncased-WWM | Encoder-only | 1024 | 24 |
+| [DMRetriever-335M-PT](https://huggingface.co/DMIR01/DMRetriever-335M-PT) | Pre-trained version of 335M | BERT-large-uncased-WWM | Encoder-only | 1024 | 24 |
+| [DMRetriever-596M](https://huggingface.co/DMIR01/DMRetriever-596M) | Base 596M variant | Qwen3-0.6B | Decoder-only | 1024 | 28 |
+| [DMRetriever-596M-PT](https://huggingface.co/DMIR01/DMRetriever-596M-PT) | Pre-trained version of 596M | Qwen3-0.6B | Decoder-only | 1024 | 28 |
+| [DMRetriever-4B](https://huggingface.co/DMIR01/DMRetriever-4B) | Base 4B variant | Qwen3-4B | Decoder-only | 2560 | 36 |
+| [DMRetriever-4B-PT](https://huggingface.co/DMIR01/DMRetriever-4B-PT) | Pre-trained version of 4B | Qwen3-4B | Decoder-only | 2560 | 36 |
+| [DMRetriever-7.6B](https://huggingface.co/DMIR01/DMRetriever-7.6B) | Base 7.6B variant | Qwen3-8B | Decoder-only | 4096 | 36 |
+| [DMRetriever-7.6B-PT](https://huggingface.co/DMIR01/DMRetriever-7.6B-PT) | Pre-trained version of 7.6B | Qwen3-8B | Decoder-only | 4096 | 36 |
+
+
+## 🚀 Usage
 
 Using HuggingFace Transformers:
 ```python
@@ -97,7 +126,7 @@ qa_embs = encode_texts(qa_queries)
 print("QA Embeddings shape:", qa_embs.shape)
 
 ```
-## Citation
+## 🧾 Citation
 If you find this repository helpful, please kindly consider citing the corresponding paper. Thanks!
 ```
 @article{yin2025dmretriever,