H

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 →
1Voyage 3 M Exp95.52Seed1.6 Embedding92.43F2LLM v2 14B91.74F2LLM 4B91.75F2LLM v2 4B91.7
···
53Gte Qwen2 1.5B Instruct85.854KaLM Embedding Multilingual Mini Instruct v1.585.855Text Multilingual Embedding 00284.6

Alternatives?

ModelScoreCostPriceWhat changes
BetterQwen 3 Embedding 8BunstatedOpen+5%—$0.01Memory (4-bit): 0.3 GB → 4.5 GBcOpenF2LLM 4Bunstated+7%——Memory (4-bit): 0.3 GB → 2.4 GBBetterBge En IclunstatedOpen+5%—$0.01Memory (4-bit): 0.3 GB → 4.3 GBBetterJina Embeddings v5 Text NanounstatedOpen+5%—$0.02Max input: 33K tokens → 8K tokensBetterQwen 3 Embedding 4BunstatedOpen+5%—$0.02Memory (4-bit): 0.3 GB → 2.4 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
82848688Jan 25Apr 25Jul 25Release dateMTEB English · Classificationv1v1.5v2
82848688Jan 25Apr 25Jul 25Release dateMTEB English · 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 Gte Qwen2 1.5B Instruct?›

On MTEB English v2 · Classification · English, KaLM Embedding Multilingual Mini Instruct v1.5 scores 85.8 vs 85.8 — 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?›

Qwen 3 Embedding 8B (better), F2LLM 4B (open weights).