F2LLM 0.6B measured on 19 of 194 Embeddings benchmarks19
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
55.7MTEB English v2
Sep 2025released
1,024Dimensions
41K tokensMax input
enLanguages
Rankingconfiguration unstated?
Full ranking →Strong at
Alternatives?
ModelScoreCostPriceWhat changes
cBetterF2LLM 4BunstatedOpen+29%——Memory (4-bit): 0.4 GB → 2.4 GBcBetterF2LLM 1.7BunstatedOpen+10%——Memory (4-bit): 0.4 GB → 1 GBcBetterF2LLM v2 14BunstatedOpen+5%——Memory (4-bit): 0.4 GB → 8.4 GBcOpenF2LLM v2 8Bunstatedsame——Memory (4-bit): 0.4 GB → 4.5 GBcOpenF2LLM v2 4Bunstatedsame——Memory (4-bit): 0.4 GB → 2.4 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
cF2LLM 4BunstatedOpen+29%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM 1.7BunstatedOpen+10%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 14BunstatedOpen+5%——Memory (4-bit): 0.4 GB → 8.4 GBModelScoreCostPriceWhat changes
cF2LLM 4BunstatedOpen+29%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM 1.7BunstatedOpen+10%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 8BunstatedOpensame——Memory (4-bit): 0.4 GB → 4.5 GBcF2LLM v2 4BunstatedOpensame——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen-4%——Memory (4-bit): 0.4 GB → 1 GBModelScoreCostPriceWhat changes
cF2LLM 4BunstatedOpen+29%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM 1.7BunstatedOpen+10%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 14BunstatedOpen+5%——Memory (4-bit): 0.4 GB → 8.4 GBcF2LLM v2 8BunstatedOpensame——Memory (4-bit): 0.4 GB → 4.5 GBcF2LLM v2 4BunstatedOpensame——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen-4%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 0.6BunstatedOpen-10%——cF2LLM v2 330MunstatedOpen-13%——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 0.6B cost?›
There is no per-unit API price: self-host only.
Is F2LLM 0.6B free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is F2LLM 0.6B, and what is it best at?›
#52 of 200 in Embeddings.
Is F2LLM 0.6B better than F2LLM v2 4B?›
On MTEB Medical v1 · Clustering · English, F2LLM 0.6B scores 54.9 vs 55.5 — about the same.
When was F2LLM 0.6B released? Is there a newer version?›
Released 2025-09-18. It is the current version in its line.
Is F2LLM 0.6B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run F2LLM 0.6B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is F2LLM 0.6B?›
F2LLM 0.6B is an open-weights embeddings & retrieval model from codefuse-ai, released Sep 2025.
What are the best alternatives to F2LLM 0.6B?›
F2LLM 4B (better).