Atria Dawn Preview — Hardware Requirements & GPU Compatibility
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Atria Dawn Preview is a preview-stage agentic model from the Shanghai Artificial Intelligence Laboratory, built on a 744-billion-parameter Mixture-of-Experts GLM-5.2 foundation. It is an instruction-tuned model designed for research and engineering workflows that require continuous environment understanding, tool use, and multi-step task completion, spanning research-style discovery, building software and applications, producing structured deliverables like reports, and authorized cybersecurity analysis. It supports a 256K token context window and is released under the MIT license. At roughly 744 billion total parameters, local deployment at 4-bit quantization needs several hundred gigabytes of memory, putting it solidly in multi-GPU server territory; most users will reach it through a hosted endpoint rather than local hardware.
1.1K downloads
232 likesSpecifications
- Publisher
- InternLM
- Parameters
- 753.3B
- Architecture
- GlmMoeDsaForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 154,880
- Release Date
- 2026-09-11
- License
- MIT
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HuggingFace
How Much VRAM Does Atria Dawn Preview Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 1510.9 GB | 3517 GB | 1506.66 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Atria Dawn Preview?
BF16 · 1510.9 GBAtria Dawn Preview (BF16) requires 1510.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1965+ GB is recommended. Using the full 1049K context window can add up to 2006.1 GB, bringing total usage to 3517 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
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Frequently Asked Questions
- How much VRAM does Atria Dawn Preview need?
Atria Dawn Preview requires 1510.9 GB of VRAM at BF16. Full 1049K context adds up to 2006.1 GB (3517 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 753.3B × 16 bits ÷ 8 = 1506.7 GB
KV Cache + Overhead ≈ 4.2 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 2010.3 GB (at full 1049K context)
VRAM usage by quantization
BF161510.9 GBBF16 + full context3517.0 GB- Can NVIDIA GeForce RTX 5090 run Atria Dawn Preview?
No — Atria Dawn Preview requires at least 1510.9 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Atria Dawn Preview on a Mac?
Atria Dawn Preview requires at least 1510.9 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Atria Dawn Preview locally?
Yes — Atria Dawn Preview can run locally on consumer hardware. At BF16 quantization it needs 1510.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Atria Dawn Preview?
At BF16, the download is about 1506.66 GB.
- Which GPUs can run Atria Dawn Preview?
No single consumer GPU has enough VRAM to run Atria Dawn Preview at BF16 (1510.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run Atria Dawn Preview?
Atria Dawn Preview requires at least 1510.9 GB at BF16, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.