rtdetr_r50vd
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
rtdetr_r50vd is an open-weight object detection model from PekingU, published on Hugging Face in May 2024. It has 40M parameters and is released under the apache-2.0 license.
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
rtdetr_r50vd had 231,545 downloads on Hugging Face in the last month and has 37 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with Hugging Face Transformers. Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does rtdetr_r50vd need?
rtdetr_r50vd with 0.04B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is rtdetr_r50vd better than other PekingU models?
rtdetr_r50vd has 0.04B parameters with 8,192 context - a strong choice for object-detection.
What license is rtdetr_r50vd under?
rtdetr_r50vd is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs rtdetr_r50vd well?
With 0.04B parameters, rtdetr_r50vd 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 rtdetr_r50vd?
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 rtdetr_r50vd?
rtdetr_r50vd 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