A state-of-the-art 8B parameter web agent model designed for complex information-seeking tasks and long-horizon reasoning.
## 🌟 Overview
WebExplorer-8B is an advanced web navigation agent trained on **WebExplorer**-QA. The model demonstrates exceptional performance on challenging information-seeking benchmarks while maintaining efficiency with only 8 billion parameters.
## ✨ Key Features
- 🌐 **Long-horizon Reasoning**: Supports up to 128K context length and 100 tool calling turns
- 🛠️ **Tool Utilization**: Masters search and browse functionalities
- 🏆 **State-of-the-art Performance**: Achieves best-in-class results among models under 10B parameters
## 🏗️ Model Architecture
Built on Qwen3-8B base model and trained through a two-phase approach:
1.**Supervised Fine-tuning (SFT)**: Cold-start initialization with high-quality trajectories
2.**Reinforcement Learning (RL)**: Enhanced using GRPO algorithm with progressive context expansion
## 📊 Performance
WebExplorer-8B achieves state-of-the-art performance across multiple information-seeking benchmarks:
| Benchmark | Score |
|-----------|-------|
| BrowseComp-en | **15.7** |
| BrowseComp-zh | **32.0** |
| GAIA | **50.0** |
| WebWalkerQA | **62.7** |
| FRAMES | **75.7** |
| XBench-DeepSearch | **53.7** |
| HLE | **17.3** |
## 🛠️ Tool Schema
WebExplorer-8B supports two tools for web interaction:
### 1. Browse Tool
```json
{
"name": "browse",
"type": "function",
"description": "Extract specific information from a webpage",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Target URL to browse. The webpage content will be processed by the LLM for information extraction."
},
"query": {
"type": "string",
"description": "Specific query about the webpage content. The LLM will analyze the content to answer this query."
}
},
"required": ["url", "query"]
}
}
```
### 2. Search Tool
```json
{
"name": "search",
"type": "function",
"description": "Perform web search queries",
"parameters": {
"type": "object",
"properties": {
"queries": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of search queries. Returns search results containing title, URL, and snippet for each query."