internlm/Atria-Dawn-Preview
AI model by internlm
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Model card & documentation
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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…
Read the full model card ↗ · Preview checked 2026-10-30T11:41:33.805Z
Inside the original model card — Document outline
- Atria Dawn Preview: From Research Questions to Verifiable Results
- 🌅 Introduction
- 📥 Model Downloads
- 📊 Evaluation Results
- 🚀 Deployment & Online Access
- Online Access
- Local Deployment
- Codex
- Restricting input to text only
- Step 1 — Create a model catalog file
- Step 2 — Point your config at it
- 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.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-26T06:37:43.835Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.