XLMRoberta En Da Sv Nb measured on 2 of 261 Embeddings benchmarks2
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
57.9MTEB Scandinavian v1
Feb 2022released
768Dimensions
0K tokensMax input
Alternatives?
ModelScoreCostPriceWhat changes
BetterQwen 3 Embedding 8BunstatedOpen+28%—$0.01Memory (4-bit): 0.2 GB → 4.5 GBcOpenF2LLM v2 8Bunstated+29%——Memory (4-bit): 0.2 GB → 4.5 GBBetterQwen 3 Embedding 0.6BunstatedOpen+11%—$0.01Memory (4-bit): 0.2 GB → 0.4 GBiBetterMultilingual E5 Large InstructunstatedOpen+9%—$0.01Memory (4-bit): 0.2 GB → 0.3 GB
BetterBge M3unstatedOpen+6%—$0.01Memory (4-bit): 0.2 GB → 0.3 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+28%—$0.01Memory (4-bit): 0.2 GB → 4.5 GBQwen 3 Embedding 0.6BunstatedOpen+11%—$0.01Memory (4-bit): 0.2 GB → 0.4 GBiMultilingual E5 Large InstructunstatedOpen+9%—$0.01Memory (4-bit): 0.2 GB → 0.3 GBBge M3unstatedOpen+6%—$0.01Memory (4-bit): 0.2 GB → 0.3 GBQwen 3 Embedding 4BunstatedOpen+25%—$0.02Memory (4-bit): 0.2 GB → 2.4 GBModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen+29%——Memory (4-bit): 0.2 GB → 4.5 GBQwen 3 Embedding 8BunstatedOpen+28%—$0.01Memory (4-bit): 0.2 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+27%——Memory (4-bit): 0.2 GB → 2.4 GBQwen 3 Embedding 4BunstatedOpen+25%—$0.02Memory (4-bit): 0.2 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen+24%——Memory (4-bit): 0.2 GB → 1 GBRun 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
Licencenot verified
Benchmarks
in Embeddings & RetrievalFAQ
How much does XLMRoberta En Da Sv Nb cost?›
There is no per-unit API price: self-host only.
Is XLMRoberta En Da Sv Nb free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is XLMRoberta En Da Sv Nb, and what is it best at?›
#147 of 205 in Embeddings.
Is XLMRoberta En Da Sv Nb better than Paraphrase Multilingual Mpnet Base v2?›
On MTEB Scandinavian v1 · Classification · multilingual (6 languages), XLMRoberta En Da Sv Nb scores 58.4 vs 58.5 — about the same.
When was XLMRoberta En Da Sv Nb released? Is there a newer version?›
Released 2022-02-22. It is the current version in its line.
Is XLMRoberta En Da Sv Nb open source?›
Yes, the weights are open (not specified licence).
Can I run XLMRoberta En Da Sv Nb locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is XLMRoberta En Da Sv Nb?›
XLMRoberta En Da Sv Nb is an open-weights embeddings & retrieval model from KFST, released Feb 2022.
What are the best alternatives to XLMRoberta En Da Sv Nb?›
Qwen 3 Embedding 8B (better), F2LLM v2 8B (open weights).