All tasks / Models / F2LLM-v2-14B
Alternatives to F2LLM-v2-14B
For each task F2LLM-v2-14B is listed in, the highest-ranked other options of the same kind, ranked only from public benchmarks.
Embeddings & retrieval: models
A
F2LLM-v2-14B · Local · 68.7% on MTEB(Multilingual, v2)
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| S |  harrier-oss-v1-27bMicrosoft | Models | Local | 74.3% on MTEB(Multilingual, v2) | ~54 GB VRAM | — | vs F2LLM-v2-14B |
| S |  KaLM-Embedding-Gemma3-12B-2511Tencent | Models | Local | 72.3% on MTEB(Multilingual, v2) | ~24 GB VRAM | — | vs F2LLM-v2-14B |
| S |  Qwen3-Embedding-8BAlibaba (Qwen) | Models | Local | 70.6% on MTEB(Multilingual, v2) | ~16 GB VRAM | — | vs F2LLM-v2-14B |
| A | harrier-oss-v1-0.6b Microsoft | Models | Local | 69% on MTEB(Multilingual, v2) | ~2 GB VRAM | — | vs F2LLM-v2-14B |
| A |  jina-embeddings-v5 (omni-small)Jina AI (Elastic) | Models | Local | 67% on MTEB(Multilingual, v2) | ~4 GB VRAM | — | |
| B |  nomic-embed-text-v2-moeNomic AI | Models | Local | 57.6% on MTEB(Multilingual, v2) | ~2 GB VRAM | — | |
| B |  snowflake-arctic-embed-l-v2.0Snowflake | Models | Local | 57% on MTEB(Multilingual, v2) | ~3 GB VRAM | — | |
| B |  zembed-1ZeroEntropy | Models | Local | 56.6% on MTEB(Multilingual, v2) | ~8 GB VRAM | — |
Tiers come only from public benchmarks; tools without a result of their own inherit the tier of the best model they offer. How we rank.