internlm/Atria-Dawn-Preview — new model trending #30 on Hugging Face
Shanghai AI Laboratory released Atria-Dawn-Preview, a 744B-parameter MoE agentic model with 256K context built on GLM-5.2, targeting research, coding, and cybersecurity automation.
Atria Dawn Preview is a preview instruct model from Shanghai AI Laboratory built on a 744B-parameter MoE GLM-5.2 foundation, designed for agentic loops covering problem analysis, tool use, code implementation, experiment execution, and failure recovery. It targets discovery, creation, delivery, and cybersecurity workflows, including vulnerability validation and fix re-verification in authorized environments. Weights ship on Hugging Face and ModelScope with an FP8-quantized variant under an MIT license and 256K context. Reported results include 96.0 on DeepSearchQA and 92.5 on BrowseComp, compared against DeepSeek V4 Pro 0813, KIMI K3, Qwen 3.8 Max, GLM 5.3, GPT 5.6 sol, and Claude Opus 5.
- Preview instruct model built on 744B-parameter MoE GLM-5.2 foundation with 256K context.
- Targets discovery, creation, delivery, and cybersecurity agentic workflows with verifiable results.
- Ships on Hugging Face and ModelScope with FP8-quantized variant under MIT license.
- Reports 96.0 DeepSearchQA and 92.5 BrowseComp against DeepSeek V4 Pro, KIMI K3, and GPT 5.6 sol.
Full article2,503 words · extracted from huggingface.co · click to collapse
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<a href="https://huggingface.co/internlm/Atria-Dawn-Preview/blob/main/README_CN.md">中文</a> ｜ <b>English</b>
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# Atria Dawn Preview: From Research Questions to Verifiable Results
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<img src="assets/atria.png" width="60%" alt="Atria Dawn Preview" />
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<a href="https://huggingface.co/internlm/Atria-Dawn-Preview" target="_blank" style="margin: 2px;">
<img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Atria%20Dawn%20Preview-FFD21E?labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://www.modelscope.cn/models/Shanghai_AI_Laboratory/Atria-Dawn-Preview" target="_blank" style="margin: 2px;">
<img alt="ModelScope" src="https://img.shields.io/badge/ModelScope-Atria%20Dawn%20Preview-624AFF?logo=ModelScope&logoColor=white&labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="LICENSE" style="margin: 2px;">
<img alt="License" src="https://img.shields.io/badge/License-MIT-3DA639?labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://atria-asi.ai/" target="_blank" style="margin: 2px;">
<img alt="Website" src="https://img.shields.io/badge/Website-atria--asi.ai-1A73E8?logo=googlechrome&logoColor=white&labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://github.com/atria-asi/Atria-Dawn-Preview" target="_blank" style="margin: 2px;">
<img alt="GitHub" src="https://img.shields.io/badge/GitHub-Atria--Dawn--Preview-181717?logo=github&logoColor=white&labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://x.com/AtriaASI" target="_blank" style="margin: 2px;">
<img alt="Twitter Follow" src="https://img.shields.io/badge/Follow-%40AtriaASI-000000?logo=x&logoColor=white&labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://discord.gg/jT8SDt8up" target="_blank" style="margin: 2px;">
<img alt="Discord" src="https://img.shields.io/badge/Discord-Join%20Chat-5865F2?logo=discord&logoColor=white&labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://arxiv.org/abs/2609.15818" target="_blank" style="margin: 2px;">
<img alt="arXiv" src="https://img.shields.io/badge/Paper-Atria Dawn-b31b1b?logo=arxiv&logoColor=red&labelColor=555" style="display: inline-block; vertical-align: middle;"/>
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<a href="#-introduction">Introduction</a> ·
<a href="#-model-downloads">Model Downloads</a> ·
<a href="#-evaluation-results">Evaluation</a> ·
<a href="#-deployment--online-access">Deployment</a> ·
<a href="#-license">License</a> ·
<a href="#-contact">Contact</a>
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## 🌅 Introduction
**Atria Dawn Preview** is a preview release of a new-generation agentic model developed by the **Shanghai Artificial Intelligence Laboratory**. Built on the **744B-parameter MoE GLM-5.2** foundation model, it targets research and engineering scenarios that demand continuous environmental understanding, tool use, and multi-step task completion.
The model is designed to drive open-ended problems toward **executable, verifiable, and reproducible** results. By combining task objectives with environmental feedback, it supports the full loop of problem analysis, solution design, tool use, code implementation, experiment execution, result analysis, and failure recovery.
Atria Dawn Preview empowers agentic tasks across four dimensions, with a particular focus on end-to-end delivery in real-world productivity scenarios such as scientific automation and office work:
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| | Dimension | What it covers |
| :---: | :--- | :--- |
| 🔍 | **Discovery** | Retrieving and organizing evidence, conducting deep research, and turning research questions into executable experimental plans. |
| 🛠️ | **Creation** | Building software, interactive applications, games, data visualizations, and machine learning systems. |
| 📦 | **Delivery** | Transforming documents, data, and design requirements into reports, presentations, and other structured deliverables. |
| 🛡️ | **Cybersecurity** | Analyzing security issues, validating vulnerabilities, applying fixes, and performing re-validation in authorized environments. |
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## 📥 Model Downloads
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| Model | Description | Context | Hugging Face | ModelScope |
| :--- | :--- | :---: | :---: | :---: |
| **Atria-Dawn-Preview** | Instruct model | 256K | [🤗 Model](https://huggingface.co/internlm/Atria-Dawn-Preview) | [🔗 Model](https://www.modelscope.cn/models/Shanghai_AI_Laboratory/Atria-Dawn-Preview) |
| **Atria-Dawn-Preview-FP8** | FP8-quantized Instruct model | 256K | [🤗 Model](https://huggingface.co/internlm/Atria-Dawn-Preview-FP8) | [🔗 Model](https://www.modelscope.cn/models/Shanghai_AI_Laboratory/Atria-Dawn-Preview-FP8) |
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## 📊 Evaluation Results
We conducted a comprehensive evaluation of Atria Dawn Preview across search, coding, tool use, productivity, and security benchmarks.
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<img src="assets/evaluation.png" width="100%" alt="Atria Dawn Preview Evaluation Results" />
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| Category | Benchmark | **Atria**<br>Dawn Preview | DeepSeek<br>V4 Pro 0813 | KIMI<br>K3 | Qwen<br>3.8 Max | GLM<br>5.3 | GPT<br>5.6 sol | Claude<br>Opus 5 |
| :--- | :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
| **Discovery** | DeepSearchQA | **96.0** | – | 95.9 | – | 94.7 | 93.2 | – |
| | BrowseComp | **92.5** | 83.4 | 91.2 | – | – | 92.2 | 90.8 |
| | WideSearch | 81.9 | – | 79.6 | 81.9 | 82.7 | **83.3** | – |
| | DeepResearch Bench II | 51.1 | 46.6 | 51.3 | 49.2 | 52.7 | 50.7 | **54.1** |
| **Creation** | MLE-bench Lite | 86.2 | 86.8 | 85.8 | 81.3 | 80.8 | **88.9** | 88.0 |
| | SWE-bench Pro | 59.6 | 58.3 | 61.6 | 65.1 | 60.3 | 61.4 | **74.7** |
| | Terminal-Bench 2.1 | 78.3 | 78.7 | – | 89.3 | 85.4 | 85.1 | **90.2** |
| **Tool Use** | BFCL v4 | **77.0** | 71.4 | 69.1 | – | 74.1 | – | – |
| | AutomationBench | **53.8** | 41.7 | 45.9 | 49.7 | 49.2 | 45.7 | 49.4 |
| | SkillsBench | 66.4 | 65.0 | 51.9 | **66.7** | 63.3 | 62.5 | 63.7 |
| | τ³-Bench Banking | 41.2 | 44.3 | 37.1 | **55.2** | 40.2 | 46.9 | 48.7 |
| **Delivery** | Workspace-Bench | 65.0 | 55.7 | 60.6 | 63.9 | 63.9 | 56.0 | **65.8** |
| | Workspace-Bench-Lite | 68.2 | 58.1 | 65.8 | 67.4 | 67.7 | 60.5 | **70.1** |
| | GDPval | 1583 | 1517 | 1611 | 1722 | 1667 | 1682 | **1768** |
| | JobBench | 50.3 | 54.1 | 54.3 | 52.7 | 58.2 | 45.4 | **68.0** |
| **Cybersecurity** | CyberGym | **86.5** | 83.3 | 78.7 | 73.8 | 84.5 | 83.6 | – |
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> **Bold** marks the best score in each row. `–` indicates the result is unavailable.
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## 🚀 Deployment & Online Access
Atria Dawn Preview supports both local deployment and hosted access.
### Online Access
Use the service endpoint corresponding to your region.
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| Region | Access | Tutorial |
| :--- | :--- | :--- |
| 🌐 **International** | [API Console](https://api.atria-asi.ai/) | [Docs](https://api.atria-asi.ai/docs) |
| 🇨🇳 **China** | [API Console](https://discovery.intern-ai.org.cn/token-plan/home?tabIndex=0) | [Docs](https://discovery.intern-ai.org.cn/token-plan/home?tabIndex=3) |
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### Local Deployment
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| Framework | Minimum Version | Guide |
| :--- | :---: | :--- |
| [**SGLang**](https://github.com/sgl-project/sglang) | `v0.5.13.post1+` | [Cookbook](https://cookbook.sglang.io/autoregressive/GLM/GLM-5.2) |
| [**vLLM**](https://github.com/vllm-project/vllm) | `v0.23.0+` | [Recipes](https://recipes.vllm.ai/zai-org/GLM-5.2) |
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