ibm-granite/granite-embedding-97m-multilingual-r2
Primitive: /encode · Encode ·
ModernBERT
Model Summary: Granite-Embedding-97M-Multilingual-R2 is a 97M parameter dense embedding model from the Granite Embeddings collection for high-quality multilingual text embeddings at minimal compute cost.
Overview
Hardware: — drives latency, throughput & cost
| Size | 97M params |
|---|---|
| Tasks | /encode |
| License | apache-2.0 |
| Languages | ar, az, bg, bn, ca, cs, da, de, el, en, es, et, fa, fi, fr, he, hi, hr, hu, id, is, it, ja, ka, kk, km, ko, lt, lv, mr, ms, nl, no, pl, pt, ro, ru, sk, sl, sq, sr, sv, sw, te, th, tl, tr, uk, ur, uz, vi, zh |
| Latency | 30 ms |
| Throughput | 82.6K tok/s |
| Cost | $0.0027 /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: 384 |
| Max sequence length | 32,768 |
| Inputs | text |
Benchmarks
CQADupstackPhysicsRetrieval
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FiQA2018
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Question answering on consumer contracts
NFCorpus
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SCIDOCS
Citation prediction, document classification, and recommendation for scientific papers
SciFact
Scientific claim verification using research literature
StackOverflowQA
Programming question answering from Stack Overflow