Model reference · open weights

clip-v-large-patch14-336

clip-v-large-patch14-336 is an open-weight embedding model from openai, 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 openai 1 variants 2.5M downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What clip-v-large-patch14-336 is

probably proofread and complete it, then remove this comment. -- clip-vit-large-patch14-336 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: - optimizer: None - trainingprecision: float32 Training results Framework versions - Transformers 4.21.3 - TensorFlow 2.8.2 - Tokenizers 0.12.1

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

Specifications

What it is

Makeropenai
TypeEmbedding models
Variants1
Runs withtransformers
Released2022-04-22
Popularity2.5M downloads / month
Likes309
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
clip-vit-large-patch14-336BF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys clip-v-large-patch14-336 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (clip-v-large-patch14-336 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":"clip-v-large-patch14-336","input":"text to embed"}'

Details

Languages, data & research

Tags

transformers pytorch tf clip zero-shot-image-classification generated_from_keras_callback endpoints_compatible

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 clip-v-large-patch14-336 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