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KaLM-Embedding-Gemma3-12B-2511
Tencent's open-weights 12B multilingual text embedding model built on Gemma 3.
- Tencent
- Open weights
- Released Nov 2025
Where it ranks
- SEmbeddings & retrievalModels · Local · 72.3% on MTEB(Multilingual, v2)
Facts
- Vendor
- Tencent
- Family
- KaLM-Embedding
- Released
- Nov 2025
- Weights
- Open: download and run it yourself
- License
- Tencent KaLM Embedding Community License
- Parameters
- 11.77B
- GPU memory to run locally
- ~24 GB (Derived: 11.77B parameters x 2 bytes = ~23.5 GB of bf16 weights (the board's 44.9 GB figure is fp32).)
- Access
- Free (open weights)
- Last verified
- 19 Oct 2026
Benchmark results
| Benchmark | Result | Entry on the leaderboard | As of | Source |
|---|---|---|---|---|
| MTEB(Multilingual, v2) | 72.3% | tencent/KaLM-Embedding-Gemma3-12B-2511Mean (Task) over all 131 tasks; board rank 2 (Borda); board zero-shot 73%; read from the leaderboard's public API. | 19 Oct 2026 | mteb-leaderboard-backend.hf.space |
Where you can use it
No tracked tool lists this model yet; as open weights it runs in local runtimes.