Model reference · open weights

convnext_tiny.dinov3_lvd

convnext_tiny.dinov3_lvd is an open-weight embedding model from timm, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Licence fee required Embeddings timm 1 variants 74k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What convnext_tiny.dinov3_lvd is

Model card for convnexttiny.dinov3lvd1689m A DINOv3 ConvNeXt image feature model. Pretrained on LVD-1689M with self-supervised DINOv3 method, distilled from DINOv3 ViT-7B. Model Details - Model Type: Image classification / feature backbone - Model Stats: - Params (M): 27.8 - GMACs: 4.5 - Activations (M): 13.4 - Image size: 224 x 224 - Papers: - DINOv3: https://arxiv.org/abs/2508.10104 - A ConvNet for the 2020s: https://arxiv.org/abs/2201.03545 - PyTorch Image Models: https://github.com/huggingface/pytorch-image-models - Original: https://github.com/facebookresearch/dinov3 - Pretrain Dataset: LVD-1689M - License: DINOv3 Model Usage Image Classification Feature Map Extraction Image Embeddings Citation

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makertimm
TypeEmbedding models
Parameters (lead)28M
Variants1
Runs withtimm
Released2025-09-11
Popularity74k downloads / month
Likes4
LicenceCommercial licence needed

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together — the basis of search and RAG.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
convnext_tiny.dinov3_lvd1689m28MBF16~0.1 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys convnext-tiny-dinov3-lvd for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (convnext-tiny-dinov3-lvd below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"convnext-tiny-dinov3-lvd","input":"text to embed"}'

Details

Languages, data & research

Tags

timm pytorch safetensors transformers image-feature-extraction

Papers

Licence

Commercial licence needed

The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗

Sources

Weights & code

Want convnext_tiny.dinov3_lvd on EU-owned hardware?

Request a licence + hosting quote See what’s served now

Explore

More embedding models

© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms