internlm/Atria-Dawn-Preview

AI model by internlm

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中文 | English Introduction · Model Downloads · Evaluation · Deployment · License · Contact 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: We conducted a comprehensive evaluation of Atria Dawn Preview across search, coding, tool use, productivity, and security benchmarks. Atria Dawn Preview supports both local…

internlm/Atria-Dawn-Preview on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T11:41:33.805Z

Inside the original model card — Document outline
  1. Atria Dawn Preview: From Research Questions to Verifiable Results
  2. 🌅 Introduction
  3. 📥 Model Downloads
  4. 📊 Evaluation Results
  5. 🚀 Deployment & Online Access
  6. Online Access
  7. Local Deployment
  8. Codex
  9. Restricting input to text only
  10. Step 1 — Create a model catalog file
  11. Step 2 — Point your config at it
  12. Claude Code

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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

internlm/Atria-Dawn-Preview is a task-unspecified model repository published by internlm on Hugging Face. A library was not reported.

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Model facts

Task
Not reported
Library
Not reported
Recent downloads (30 days)
1,215
Cumulative likes
236
Hugging Face trending score
64
Reported safetensors parameters
753,329,940,480
Architecture
GlmMoeDsaForCausalLM
License
mit
Access
Not gated by Hugging Face
Created
2026-09-11T08:27:05.000Z
Last modified
2026-09-16T12:35:55.000Z

Compatibility and lineage

Reported languages: zh, en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-26T06:37:43.835Z. Daily imports are snapshots, not real-time monitoring.

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