Model reference · open weights
vit_large_patch14_clip_224.dfn2b_s 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.
About
Model card for vitlargepatch14clip224.dfn2bs39b timm DFN CLIP (image encoder only) weights from https://huggingface.co/apple/DFN2B-CLIP-ViT-L-14-39B
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | timm |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 304M |
| Variants | 1 |
| Runs with | timm |
| Released | 2024-12-30 |
| Popularity | 31k downloads / month |
| Likes | 1 |
| Licence | Commercial licence needed |
How it works
Variants
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.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| vit_large_patch14_clip_224.dfn2b_s39b | 304M | BF16 | ~0.7 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys vit-large-patch14-clip-224-dfn2b-s for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (vit-large-patch14-clip-224-dfn2b-s 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":"vit-large-patch14-clip-224-dfn2b-s","input":"text to embed"}'
Details
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Licence
The weights are open but apple-ascl 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 ↗
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