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Open-weight model · Image classification
by YX yxsi/PlumaDINO-vits16plus-preview
PlumaDINO-vits16plus-preview is an open-weight model for image classification from YX, released under other. It has 38M parameters. At 16-bit it needs about 0.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 12 downloads a month.
PlumaDINO-vits16plus-preview is an independently fine-tuned image classifier for living bird species, built on the distilled DINOv3 ViT-S+/16 backbone. This preview supports aspect-ratio-preserving inputs and loads directly with Transformers.
What it takes to serve PlumaDINO-vits16plus-preview (38M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 18, 2026.
PlumaDINO-vits16plus-preview on every accelerator the SAVRN Index prices, at every precision
PlumaDINO-vits16plus-preview is an independently fine-tuned image classifier for living bird species, built on the distilled DINOv3 ViT-S+/16 backbone. This preview supports aspect-ratio-preserving inputs and loads directly with Transformers. Install the dependencies in requirements.txt in your own environment. Run this example from the parent of the downloaded model folder. It uses CPU; set device = "cuda" to use a GPU. After publication, a Hub repository ID may replace the local folder path. For an offline local copy, pass localfilesonly=True to both loaders. AutoModel.frompretrained(..., trustremotecode=True) also loads the classifier. The folder includes the custom inference code; a…
Excerpt from the card by YX, licensed other.
14 files, 155.5 MB in total. The weights are 1 file totalling 151.0 MB in safetensors.
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 151.0 MB | c5928541f4ed |
| config.json | Configuration | 861.8 KB | — |
| configuration_bird_dinov3.py | Configuration | 3.6 KB | — |
| example_inference.py | Configuration | 1.8 KB | — |
| image_processing_bird_dinov3.py | Configuration | 14.8 KB | — |
| labels.json | Configuration | 3.6 MB | — |
| modeling_bird_dinov3.py | Configuration | 9.3 KB | — |
| native_bird_backbone.py | Configuration | 8.9 KB | — |
| preprocessor_config.json | Configuration | 613 B | — |
| LICENSE.md | Documentation | 751 B | — |
| LICENSE.upstream.md | Documentation | 7.5 KB | — |
| README.md | Documentation | 8.1 KB | — |
| requirements.txt | Other | 170 B | — |
| .gitattributes | Repository | 1.5 KB | — |
Released by YX through its official repository on Hugging Face. Read the license.
| Precision | Weights in memory |
|---|---|
| As published | 151.0 MB |
| 16-bit | 0.1 GB |
| 8-bit | 0.0 GB |
| 4-bit | 0.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (38M parameters) plus a working margin. A long context needs more.
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
other, as its publisher declares it. Read the license text before commercial use.
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