Update README.md

README.md

@@ -14,46 +14,44 @@ tags:
 - conversational
 - web3
 - qwen3
-
 eval_results:
-  - task: domain-specific evaluation
-    dataset: DMindAI/DMind_Benchmark
-    metric: normalized web3 score
-    score: 77.44
-    model: DMind-1
-    model_rank: 1 / 24
+- task: domain-specific evaluation
+  dataset: DMindAI/DMind_Benchmark
+  metric: normalized web3 score
+  score: 77.44
+  model: DMind-1
+  model_rank: 1 / 24
 ---
 
-
-
-
-<div align="center">
-  <img src="figures/dmind-ai-logo.png" width="60%" alt="DMind-1" />
-</div>
-
+<p align="center">
+  <img src="figures/dmind-ai-logo.png" width="300" alt="DMind Logo" />
+</p>
 <hr>
-
-<div align="center">
-    <a href="https://img.shields.io/badge/DMind-Homepage-blue?logo=data:image/svg+xml;base64,)">
-    <img alt="DMind Website" src="https://img.shields.io/badge/DMind-Homepage-blue?logo=data:image/svg+xml;base64,)"/>
+<div align="center" style="line-height: 1;">
+  <a href="https://dmind.ai/" target="_blank" style="margin: 2px;">
+    <img alt="DMind Website" src="https://img.shields.io/badge/DMind-Homepage-blue?logo=data:image/svg+xml;base64,)" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://huggingface.co/datasets/DMindAI/DMind-1" target="_blank" style="margin: 2px;">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/HuggingFace-DMind--1-ffd21f?color=ffd21f&logo=huggingface" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://x.com/dmind_ai" target="_blank" style="margin: 2px;">
+    <img alt="X" src="https://img.shields.io/badge/X-@dmindai-1DA1F2?logo=x" style="display: inline-block; vertical-align: middle;"/>
   </a>
-  <a href="https://huggingface.co/datasets/DMindAI/DMind_Benchmark">
-    <img alt="Hugging Face" src="https://img.shields.io/badge/HuggingFace-DMind_Benchmark-yellow?logo=huggingface"/>
-  </a> 
-  <a href="https://x.com/dmindai">
-    <img alt="X" src="https://img.shields.io/badge/X-@dmindai-1DA1F2?logo=x"/>
-  </a> 
-  <a href="https://www.apache.org/licenses/LICENSE-2.0">
-    <img alt="Apache 2.0" src="https://img.shields.io/badge/Apache%202.0-blue.svg"/>
+  <a href="https://openrouter.ai/chat" target="_blank" style="margin: 2px;">
+    <img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-DMind-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
   </a>
-  <a href="https://opensource.org/licenses/MIT">
-    <img alt="Code License: MIT" src="https://img.shields.io/badge/Code%20License-MIT-yellow.svg"/>
+  <a href="https://discord.gg/xxwmPHU3" target="_blank" style="margin: 2px;">
+    <img alt="Discord" src="https://img.shields.io/badge/Discord-DMind-7289da?logo=discord&logoColor=white&color=7289da" style="display: inline-block; vertical-align: middle;"/>
   </a>
-  <a href="MODEL-LICENSE">
-    <img alt="Model License: Model Agreement" src="https://img.shields.io/badge/Model%20License-Model%20Agreement-yellow.svg"/>
+  <a href="https://opensource.org/licenses/MIT" target="_blank" style="margin: 2px;">
+    <img alt="Code License: MIT" src="https://img.shields.io/badge/Code%20License-MIT-yellow.svg" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="MODEL-LICENSE" target="_blank" style="margin: 2px;">
+    <img alt="Model License: Model Agreement" src="https://img.shields.io/badge/Model%20License-Model%20Agreement-yellow.svg" style="display: inline-block; vertical-align: middle;"/>
   </a>
 </div>
 
+
 ## Table of Contents
 - [Introduction](#introduction)
 - [1. Model Overview](#1-model-overview)
@@ -62,6 +60,8 @@ eval_results:
 - [4. Quickstart](#4-quickstart)
   - [4.1 Model Downloads](#41-model-downloads)
   - [4.2 OpenRouter API](#42-openrouter-api)
+  - [4.3 OpenRouter Web Chat](#43-openrouter-web-chat)
+- [License](#license)
 - [Contact](#contact)
 
 ## Introduction
@@ -69,8 +69,6 @@ The rapid growth of Web3 technologies—blockchain, DeFi, and smart contracts—
 
 To address these limitations, we introduce **DMind-1**, a domain-specialized LLM fine-tuned for the Web3 ecosystem via supervised instruction tuning and reinforcement learning from human feedback (RLHF). Built on a powerful base model, DMind-1 achieves strong improvements in task accuracy, content safety, and expert-aligned interaction, significantly surpassing general-purpose models. DMind-1 represents a robust foundation for intelligent agents in the Web3 ecosystem.
 
-To support real-time and resource-constrained applications, we further release **DMind-1-mini**, a compact variant distilled from both DMind-1 and a generalist LLM using a multi-level distillation framework. It retains key domain reasoning abilities while operating with significantly lower computational overhead.
-
 ## 1. Model Overview
 
 ### DMind-1
@@ -94,28 +92,10 @@ DMind-1 exhibits advanced web3-aligned reasoning and interactive capabilities in
 
     - **Safe and Compliant Content Generation**: Outputs are aligned with domain-specific safety, ethics, and regulatory standards.
 
-### DMind-1-mini
-
-To address scenarios requiring lower latency and faster inference, we also introduce **DMind-1-mini**, a lightweight distilled version of DMind-1 based on Qwen3-14B.
-DMind-1-mini is trained using knowledge distillation and our custom **DeepResearch** framework, drawing from two teacher models:
-- **DMind-1** (Qwen3-32B): Our in-house Web3 expert model.
-- **GPT-o3 + DeepResearch**: A general-purpose SOTA LLM with broad capabilities.
-
-The **Distillation pipeline** combines:
-
-- **Web3-specific data distillation**, using filtered instruction-following and QA samples generated by the teachers
-
-- **Soft-label supervision**, encouraging the student to match the teachers’ output distributions and uncertainty
-
-- **Intermediate representation alignment**, transferring structural knowledge from selected internal layers
-
-
-This multi-level distillation strategy allows DMind-1-mini to maintain high Web3 task performance with significantly reduced computational overhead and latency, making it suitable for real-time applications such as instant Q&A and on-chain analytics, and lightweight agent deployment.
-
 
 ## 2. Evaluation Results
 
-![DMind-1 Web3 Performance](figures/dmind-1-web3-performance.png)
+![DMind-1 Web3 Performance](figures/dmind-1-web3-performance.jpeg)
 
 We evaluate DMind-1 using the **DMind Benchmark**, a domain-specific evaluation suite tailored to assess large language models in the Web3 context. The benchmark spans 1,917 expert-reviewed questions across nine critical categories—including Blockchain Fundamentals, Infrastructure, Smart Contracts, DeFi, DAO, NFT, Token Economics, Meme, and Security. It combines multiple-choice and subjective open-ended tasks, simulating real-world challenges and requiring deep contextual understanding, which provides a comprehensive assessment of both factual knowledge and advanced reasoning.
 
@@ -133,11 +113,81 @@ Under this rigorous evaluation, DMind-1 ranked 1st among 24 leading models, outp
 
 ### 4.1 Model Downloads
 
-| **Model**      | **#Total Params** | **#Activated Params** | **Context Length** | **Download**                                                                 |
-|:--------------:|:----------------:|:--------------------:|:-----------------:|:----------------------------------------------------------------------------:|
-| DMind-1        |               |                   |           | [Hugging Face Link](https://huggingface.co/dmind-ai/dmind-1-base)            |
-| DMind-1-mini   |               |                  |            | [Hugging Face Link](https://huggingface.co/dmind-ai/dmind-1)                 |
+| **Model**      | **Base Model** | **Download**                                                                 |
+|:--------------:|:--------------:|:----------------------------------------------------------------------------:|
+| DMind-1        | Qwen3-32B      | [Hugging Face Link](https://huggingface.co/dmind-ai/dmind-1)            |
 
 ### 4.2 OpenRouter API
+
+You can access **DMind-1** via the OpenRouter API. Simply specify the desired model in the `model` field of your request payload.
+
+**API Endpoint:**
+```
+https://openrouter.ai/api/v1/chat/completions
+```
+
+**Authentication:**
+- Obtain your API key from [OpenRouter](https://openrouter.ai/)
+- Include it in the `Authorization` header as `Bearer YOUR_API_KEY`
+
+**Model Identifiers:**
+- `dmind-1` — Full-size expert model
+
+**Example Request (Python):**
+```python
+import requests
+
+headers = {
+    "Authorization": "Bearer YOUR_API_KEY",
+    "Content-Type": "application/json"
+}
+
+data = {
+    "model": "dmind-1",
+    "messages": [
+        {"role": "user", "content": "Explain DeFi in simple terms."}
+    ]
+}
+
+response = requests.post(
+    "https://openrouter.ai/api/v1/chat/completions",
+    headers=headers,
+    json=data
+)
+print(response.json())
+```
+
+**Example Request (cURL):**
+```bash
+curl https://openrouter.ai/api/v1/chat/completions \
+  -H "Authorization: Bearer YOUR_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "dmind-1",
+    "messages": [{"role": "user", "content": "What is a smart contract?"}]
+  }'
+```
+
+**Notes:**
+- Replace `YOUR_API_KEY` with your actual OpenRouter API key.
+- Change the `model` field to `dmind-1` as needed.
+- Both models support the same API structure for easy integration.
+
+### 4.3 OpenRouter Web Chat
+
+You can try **DMind-1** instantly using the [OpenRouter Web Chat](https://openrouter.ai/chat).
+
+- Select your desired model from the dropdown menu (**DMind-1**).
+- Enter your prompt and interact with the model in real time.
+
+[![OpenRouter Chat](https://img.shields.io/badge/🤖%20Try%20on-OpenRouter%20Chat-536af5?color=536af5&logoColor=white)](https://openrouter.ai/chat)
+
+## License
+- The code repository and model weights for DMind-1 is released under the MIT License.
+- Commercial use, modification, and derivative works (including distillation and fine-tuning) are permitted.
+- **Base Models:**
+  - DMind-1 is derived from Qwen3-32B, originally licensed under the [Qwen License](https://github.com/QwenLM/Qwen3).
+  - Please ensure compliance with the original base model licenses when using or distributing derivatives.
+
 ## Contact
-For questions or support, please contact [email protected]
+For questions or support, please contact [email protected]