laion/CLIP-ViT-B-32-laion2B-s34B-b79K
Primitive: /encode · Encode ·
CLIP
1. Model Details 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation 7. How To Get Started With the Model
MultimodalDense
Overview
Hardware: — drives latency, throughput & cost
| Size | 151M params |
|---|---|
| Tasks | /encode |
| License | mit |
| Latency | 219 ms |
| Throughput | 1.0K tok/s |
| Cost | $0.218 /1M tok |
Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.
Embedding
| Output types | Dense |
|---|---|
| Dimensions | dense: 512 |
| Max sequence length | 77 |
| Inputs | text · image |
Benchmarks
Flickr30kI2TRetrieval
Image-to-text retrieval: retrieve captions from images
Corpus: 31,783 Queries: 1,000
Quality
ndcg at 10 0.7744
map at 10 0.6783
mrr at 10 0.8925
Performance L4 b1 c16
Corpus 1.0K tok/s
Corpus p50 219.4ms
Query 10.1 mpix/s
Query p50 235.4ms
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