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internlm/Atria-Dawn-Preview — new model trending #30 on Hugging Face

Hugging Face trending modelsby internlm ()11 min read2
AI summary · glm-5.3-flashSummaries by Vani AI

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.

Key facts
  • 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.
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From the original article

11 min read at huggingface.co

<a href="https://huggingface. co/internlm/Atria-Dawn-Preview/blob/main/README_CN. md">中文</a>&nbsp;|&nbsp;<b>English</b> # Atria Dawn Preview: From Research Questions to Verifiable Results <img src="assets/atria.

Hugging Face trending models

By internlm · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.