KoE5 measured on 13 of 194 Embeddings benchmarks13
BenchmarkByScoreRank
Reranking2
Other11
No benchmark matches
price not verifiedprice
40.4MTEB Thai v1
Sep 2024released
1,024Dimensions
1K tokensMax input
en, koLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen×2.3——Memory (4-bit): 0.3 GB → 4.5 GBcF2LLM v2 1.7BunstatedOpen×2.3——Memory (4-bit): 0.3 GB → 1 GBcF2LLM v2 4BunstatedOpen×2.3——Memory (4-bit): 0.3 GB → 2.4 GBcF2LLM v2 0.6BunstatedOpen×2.2——Memory (4-bit): 0.3 GB → 0.4 GBcF2LLM v2 330MunstatedOpen×2.1——Run it yourself
estimateFits 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
Benchmarks
in Embeddings & RetrievalFAQ
How much does KoE5 cost?›
There is no per-unit API price: price not verified.
How good is KoE5, and what is it best at?›
#69 of 192 in Embeddings.
Is KoE5 better than Solon Embeddings Large 0.1?›
On MTEB Thai v1 · Clustering · Thai, KoE5 scores 40.4 vs 40.5 — about the same.
When was KoE5 released? Is there a newer version?›
Released 2024-09-24. It is the current version in its line.
Is KoE5 open source?›
Yes, the weights are open (MIT licence).
Can I run KoE5 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is KoE5?›
KoE5 is an open-weights embeddings & retrieval model from nlpai-lab, released Sep 2024.
What are the best alternatives to KoE5?›
EmbeddingGemma 300M (better), F2LLM v2 8B (open weights).