Model reference · open weights

naflexvit_so400m_patch16_siglip.v2_webli

naflexvit_so400m_patch16_siglip.v2_webli 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.

Embeddings timm 1 variants 124k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What naflexvit_so400m_patch16_siglip.v2_webli is

Model card for naflexvitso400mpatch16siglip.v2webli SigLIP-2 (https://arxiv.org/abs/2502.14786) SO400M/16 NaFlex ViT encoder weights for timm NaFlexViT

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

Specifications

What it is

Makertimm
TypeEmbedding models
Parameters (lead)428M
Variants1
Runs withtimm
Released2025-08-04
Popularity124k downloads / month
Likes1
LicenceOpen weights

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
naflexvit_so400m_patch16_siglip.v2_webli428MBF16~1 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys naflexvit-so400m-patch16-siglip-v2-webli for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (naflexvit-so400m-patch16-siglip-v2-webli 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":"naflexvit-so400m-patch16-siglip-v2-webli","input":"text to embed"}'

Details

Languages, data & research

Tags

timm pytorch safetensors transformers image-feature-extraction

Papers

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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