--- base_model: - Qwen/Qwen3-8B language: - en library_name: transformers license: mit tags: - LLM pipeline_tag: text-generation --- # 🔍 WebExplorer-8B 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 at its scale: | Model | BC-en | BC-zh | GAIA | WebWalkerQA | FRAMES | Xbench-DS | HLE | |-------|-------|-------|------|-------------|--------|-----------|-----| | OpenAI-o3† | 50.9 | 58.1 | 70.5† | 71.7 | 84.0 | 66.7 | 20.2 | | Claude-4-Sonnet† | 12.2 | 29.1 | 68.3† | 61.7 | 80.7 | 64.6 | 20.3 | | GLM-4.5 | 26.4 | 37.5 | 66.0† | 65.6† | 78.9† | 70.0† | 21.2† | | DeepSeek-V3.1 | 30.0 | 49.2 | 63.1† | 61.2† | 83.7 | 71.2 | 29.8 | | Kimi-K2† | 14.1 | 28.8 | 57.7 | 63.0 | 72.0 | 50.0 | 18.1 | |====|====|====|====|====|====|====|====| | WebShaper-72B | - | - | **60.0** | 52.2 | - | - | - | | WebShaper-32B (QwQ) | - | - | 53.3 | 49.7 | - | - | - | | WebShaper-32B | - | - | 52.4 | 51.4 | - | - | - | | WebSailor-72B | 12.0 | 30.1 | 55.4 | - | - | **55.0** | - | | WebSailor-32B | 10.5 | 25.5 | 53.2 | - | - | 53.3 | - | | WebSailor-7B | 6.7 | 14.2 | 33.0 | - | - | 34.3 | - | | ASearcher-Web-QwQ | 5.2 | 15.6 | 52.8 | 34.3 | 70.9 | 42.1 | 12.5 | | WebThinker-32B | 2.8 | - | 48.5 | 46.5 | - | - | 15.8 | | MiroThinker-32B-DPO-v0.1 | 13.0 | 17.0 | 57.3 | 49.3 | 71.7 | - | 11.8 | | MiroThinker-8B-DPO-v0.1 | 8.7 | 13.6 | 46.6 | 45.7 | 64.4 | - | - | | WebExplorer-8B (SFT) | 7.9 | 21.3 | 43.7 | 59.8 | 72.6 | 47.5 | 16.0 | | WebExplorer-8B (RL) | **15.7** | **32.0** | 50.0 | **62.7** | **75.7** | 53.7 | **17.3** | Accuracy (%) of web agents on information-seeking benchmarks. BC-en and BC-zh denote BrowseComp-en and BrowseComp-zh respectively. XBench-DS refers to XBench-DeepSearch. **Bold** indicates the best performance among open-source models < 100B, while underlined values represent the best performance among models < 10B parameters. All scores of WebExplorer-8B are computed as Avg@4 using LLM-as-Judge. Entries marked with a dagger (†) were reproduced by us under our scaffold: on model name = entire row; on a number = that entry only. ## 🛠️ 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." } }, "required": ["queries"] } } ```