DUSt3R_ViTLarge_BaseDecoder_512_dpt
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
DUSt3R_ViTLarge_BaseDecoder_512_dpt is an open-weight 3D generation model from naver, published on Hugging Face in June 2024. It has 570M parameters and is released under a custom license (see the model card).
HardwareLink to this section
At full FP16 precision the weights need about 1 GB of memory; 8-bit quantization brings that to roughly 1 GB. That is small enough for most consumer GPUs, Apple Silicon Macs, and many CPUs.
PopularityLink to this section
DUSt3R_ViTLarge_BaseDecoder_512_dpt had 26,083 downloads on Hugging Face in the last month and has 17 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with dust3r. Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does DUSt3R_ViTLarge_BaseDecoder_512_dpt need?
DUSt3R_ViTLarge_BaseDecoder_512_dpt with 0.57B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is DUSt3R_ViTLarge_BaseDecoder_512_dpt better than other naver models?
DUSt3R_ViTLarge_BaseDecoder_512_dpt has 0.57B parameters with 8,192 context - a strong choice for 3d-generation.
What license is DUSt3R_ViTLarge_BaseDecoder_512_dpt under?
DUSt3R_ViTLarge_BaseDecoder_512_dpt is released under the Other license, making it suitable for most commercial and personal projects.
What hardware runs DUSt3R_ViTLarge_BaseDecoder_512_dpt well?
With 0.57B parameters, DUSt3R_ViTLarge_BaseDecoder_512_dpt requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for DUSt3R_ViTLarge_BaseDecoder_512_dpt?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with DUSt3R_ViTLarge_BaseDecoder_512_dpt?
DUSt3R_ViTLarge_BaseDecoder_512_dpt competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec