BiRefNet_lite
Peng Zheng 1,4,5,6,  Dehong Gao 2,  Deng-Ping Fan 1,  Li Liu 3,  Jorma Laaksonen 4,  Wanli Ouyang 5,  Nicu Sebe 6
Params
44 M
Context
—
Downloads 30d
196 K
Likes
23
Download history
daily snapshots · 51 days
▲ 208 K in the last 30 days (51.4%)
418 K196 K
Oct 12Oct 22Nov 1Nov 10
418 K196 K
Sep 21Oct 8Oct 25Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.2 GB | 0.7 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- BiRefNet
- Parameters
- 44 M
- Tensor type
- F32
- Licence
- mit
- First seen on the Hub
- 2024-08-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-21
Compare with any image-segmentation model