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KaLM Embedding Multilingual Mini Instruct v1.5

Dec 2024
HKaLM Embedding Multilingual Mini Instruct v1.5
Compare in
on
self-host onlyprice
83.4MTEB English v2
Dec 2024released
896Dimensions
33K tokensMax input

Rankingconfiguration unstated?

Full ranking →
1Ingot 8B R393.82Conan Embedding v293.53QZhou Embedding92.44Voyage Large 2 Instruct91.35Jasper Token Compression 600M90.2
···
143Bekko Embedding v1 A25m83.6144KaLM Embedding Multilingual Mini Instruct v1.583.4145Ivysaur83.4

Alternatives?

ModelScoreCostPriceWhat changes
BetterEmbeddingGemma 300MunstatedOpen+5%—$0.002Max input: 33K tokens → 2K tokensKOpenQZhou Embeddingunstated+11%——Memory (4-bit): 0.3 GB → 4.2 GBBetterBge Base En v1.5unstatedOpen+4%—$0.005Max input: 33K tokens → 1K tokensiBetterE5 Base v2unstatedOpen+3%—$0.005Max input: 33K tokens → 1K tokensBetterBge En IclunstatedOpen+6%—$0.01Memory (4-bit): 0.3 GB → 4.3 GB

Run it yourself

estimate
Fits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceMITfree for commercial use

History

3 versions
83848586Jan 25Apr 25Jul 25Release dateMTEB English · Pair Classificationv1v1.5v2
83848586Jan 25Apr 25Jul 25Release dateMTEB English · Pair Classificationv1v1.5v2

Benchmarks

in Embeddings & Retrieval
BEIR · Mean over tasks · English51.6#84
BEIR · Mean over task types · English51.6#84
BEIR · Retrieval · English51.6#84
MTEB Mandarin Chinese v1 · Retrieval · Mandarin Chinese70.1#47
MTEB Mandarin Chinese v1 · STS · Mandarin Chinese48.4#46
MTEB Mandarin Chinese v1 · Reranking · Mandarin Chinese64.4#47
MTEB Mandarin Chinese v1 · Clustering · Mandarin Chinese57.3#35
MTEB Mandarin Chinese v1 · Pair Classification · Mandarin Chinese72.9#40
MTEB French v1 · Retrieval · multilingual (2 languages)54.3#25
MTEB French v1 · Reranking · French80.6#25
MTEB French v1 · Summarization · French29.3#113
MTEB Polish v1 · Pair Classification · Polish79.1#55
MTEB Polish v1 · STS · Polish67#28
MTEB Medical v1 · Reranking · Mandarin Chinese83.1#41
MTEB Russian v1.1 · STS · Russian70.7#46
MTEB Russian v1.1 · Reranking · Russian63.7#37
MTEB Russian v1.1 · Clustering · Russian55.9#37
MTEB Russian v1.1 · Pair Classification · Russian55.2#89
MTEB Russian v1.1 · Retrieval · Russian63.9#31
MTEB Russian v1.1 · Multilabel Classification · Russian37.7#36

FAQ

How much does KaLM Embedding Multilingual Mini Instruct v1.5 cost?›

There is no per-unit API price: self-host only.

Is KaLM Embedding Multilingual Mini Instruct v1.5 free to use?›

There is no free API. The weights are open, so you can run it yourself.

How good is KaLM Embedding Multilingual Mini Instruct v1.5, and what is it best at?›

#136 of 238 in Embeddings.

Is KaLM Embedding Multilingual Mini Instruct v1.5 better than Bekko Embedding v1 A25m?›

On MTEB English v2 · Pair Classification · English, KaLM Embedding Multilingual Mini Instruct v1.5 scores 83.4 vs 83.6 — about the same.

When was KaLM Embedding Multilingual Mini Instruct v1.5 released? Is there a newer version?›

Released 2024-12-26. It is the current version in its line.

Is KaLM Embedding Multilingual Mini Instruct v1.5 open source?›

Yes, the weights are open (MIT licence).

Can I run KaLM Embedding Multilingual Mini Instruct v1.5 locally?›

The weights are open and can be self-hosted; hardware needs are not confirmed yet.

What is KaLM Embedding Multilingual Mini Instruct v1.5?›

KaLM Embedding Multilingual Mini Instruct v1.5 is an open-weights embeddings & retrieval model from HIT-TMG, released Dec 2024.

What are the best alternatives to KaLM Embedding Multilingual Mini Instruct v1.5?›

EmbeddingGemma 300M (better), QZhou Embedding (open weights).