sam3
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
vllm serve facebook/sam3New to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
sam3 is an open-weight image segmentation model from facebook, published on Hugging Face in November 2025. It has 860M parameters and is released under a custom license (see the model card).
HardwareLink to this section
At full FP16 precision the weights need about 2 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
sam3 had 2,070,504 downloads on Hugging Face in the last month and has 6,451 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 sam3 need?
sam3 with 0.86B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is sam3 better than other facebook models?
sam3 has 0.86B parameters with 8,192 context - a strong choice for image-segmentation.
What license is sam3 under?
sam3 is released under the Other license, making it suitable for most commercial and personal projects.
What hardware runs sam3 well?
With 0.86B parameters, sam3 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 sam3?
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 sam3?
sam3 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