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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 →
1Multilingual E5 Base332Rubert Tiny232.53Sentence Croissant Alpha v0.332.54Speed Embedding 7B Instruct32.45Bilingual Embedding Small32.3
···
116Text2vec Base Chinese Paraphrase29.3117KaLM Embedding Multilingual Mini Instruct v1.529.3118MedEmbed Small v0.129.3

Alternatives?

ModelScoreCostPriceWhat changes
iBetterE5 Base v2unstatedOpen+9%—$0.005Max input: 33K tokens → 1K tokensiOpenMultilingual E5 Baseunstated+12%——Max input: 33K tokens → 1K tokensiBetterMultilingual E5 Large InstructunstatedOpen+8%—$0.01Max input: 33K tokens → 1K tokenscBetterRubert Tiny2unstatedOpen+11%——Max input: 33K tokens → 2K tokensmBetterSentence Croissant Alpha v0.3unstatedOpen+11%——Max input: 33K tokens → 1K tokens+1

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
29.53030.531Release dateMTEB French · Summarizationv1v1.5
29.53030.531Release dateMTEB French · Summarizationv1v1.5

Benchmarks

in Embeddings & Retrieval
BEIR · Mean over tasks · English51.6#86
BEIR · Mean over task types · English51.6#86
BEIR · Retrieval · English51.6#86
MTEB Mandarin Chinese v1 · STS · Mandarin Chinese48.4#50
MTEB Mandarin Chinese v1 · Clustering · Mandarin Chinese57.3#39
MTEB Mandarin Chinese v1 · Reranking · Mandarin Chinese64.4#47
MTEB Mandarin Chinese v1 · Retrieval · Mandarin Chinese70.1#48
MTEB Mandarin Chinese v1 · Pair Classification · Mandarin Chinese72.9#40
MTEB French v1 · Retrieval · multilingual (2 languages)54.3#30
MTEB French v1 · Reranking · French80.6#32
MTEB French v1 · Summarization · French29.3#117
MTEB Polish v1 · Clustering · Polish44.3#20
MTEB Polish v1 · STS · Polish67#33
MTEB Polish v1 · Pair Classification · Polish79.1#63
MTEB Medical v1 · Mean over tasks · multilingual (10 languages)59.7#23
MTEB Medical v1 · Mean over task types · multilingual (10 languages)61.9#17
MTEB Medical v1 · Retrieval · multilingual (10 languages)61.2#26
MTEB Medical v1 · Clustering · English41.4#47
MTEB Medical v1 · Reranking · Mandarin Chinese83.1#45
MTEB Spanish v1 · Classification · Spanish88.5#22
MTEB Russian v1.1 · Clustering · Russian55.9#42
MTEB Russian v1.1 · Reranking · Russian63.7#37
MTEB Russian v1.1 · Multilabel Classification · Russian37.7#41
MTEB Russian v1.1 · STS · Russian70.7#48
MTEB Russian v1.1 · Retrieval · Russian63.9#31
MTEB Russian v1.1 · Pair Classification · Russian55.2#89
RTEB French beta · Mean over tasks · multilingual (2 languages)36.1#80

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 Text2vec Base Chinese Paraphrase?›

On MTEB French v1 · Summarization · French, KaLM Embedding Multilingual Mini Instruct v1.5 scores 29.3 vs 29.3 — 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?›

E5 Base v2 (better), Multilingual E5 Base (open weights).