F2LLM 1.7B measured on 12 of 194 Embeddings benchmarks12
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
57.8MTEB English v2
Sep 2025released
2,048Dimensions
41K tokensMax input
enLanguages
Rankingconfiguration unstated?
Full ranking →···
18Jasper En Vision Language v15019F2LLM 1.7B49.820E5 Mistral 7B Instruct49.8Strong at
Alternatives?
ModelScoreCostPriceWhat changes
IBetterYuan Embedding 2.0 EnunstatedOpen+7%——Max input: 41K tokens → 33K tokensKOpenQZhou Embeddingunstated+4%——Max input: 41K tokens → 33K tokens+1
OpenQwen 3 Embedding 8Bunstated+3%—$0.01Max input: 41K tokens → 33K tokens+2OpenQwen 3 Embedding 4Bunstatedsame—$0.02Max input: 41K tokens → 33K tokens+2iOpenJasper Token Compression 600Munstatedsame——Max input: 41K tokens → 33K tokensModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
IYuan Embedding 2.0 EnunstatedOpen+7%——Max input: 41K tokens → 33K tokensModelScoreCostPriceWhat changes
IYuan Embedding 2.0 EnunstatedOpen+7%——Max input: 41K tokens → 33K tokensKQZhou EmbeddingunstatedOpen+4%——Max input: 41K tokens → 33K tokens+1Qwen 3 Embedding 8BunstatedOpen+3%—$0.01Max input: 41K tokens → 33K tokens+2Qwen 3 Embedding 4BunstatedOpensame—$0.02Max input: 41K tokens → 33K tokens+2iJasper Token Compression 600MunstatedOpensame——Max input: 41K tokens → 33K tokensModelScoreCostPriceWhat changes
cF2LLM v2 14BunstatedOpensame——Memory (4-bit): 1 GB → 8.4 GBcF2LLM v2 8BunstatedOpensame——Memory (4-bit): 1 GB → 4.5 GBcF2LLM v2 4BunstatedOpensame——Memory (4-bit): 1 GB → 2.4 GBcF2LLM 4BunstatedOpensame——Memory (4-bit): 1 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpensame——cF2LLM 0.6BunstatedOpen-4%——cF2LLM v2 0.6BunstatedOpen-4%——cF2LLM v2 330MunstatedOpen-6%——All codefuse-ai models →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
LicenceApache-2.0free for commercial use
History
2 versionsBenchmarks
in Embeddings & RetrievalFAQ
How much does F2LLM 1.7B cost?›
There is no per-unit API price: self-host only.
Is F2LLM 1.7B free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is F2LLM 1.7B, and what is it best at?›
#40 of 200 in Embeddings. Strongest at: Embeddings & Retrieval.
Is F2LLM 1.7B better than Jasper En Vision Language v1?›
On MTEB English v2 · Reranking · English, F2LLM 1.7B scores 49.8 vs 50 — about the same.
When was F2LLM 1.7B released? Is there a newer version?›
Released 2025-09-18. It is the current version in its line.
Is F2LLM 1.7B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run F2LLM 1.7B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is F2LLM 1.7B?›
F2LLM 1.7B is an open-weights embeddings & retrieval model from codefuse-ai, released Sep 2025.
What are the best alternatives to F2LLM 1.7B?›
Yuan Embedding 2.0 En (better).