paraphrase-multilingual-MiniLM-L12-v2
Dakera's multilingual intent encoder 路 a verified mirror by Dakera, the self-hosted memory engine for AI agents
An unmodified, checksum-verified copy of the files Dakera uses from sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2. The model is by sentence-transformers; all credit goes to its authors.
In Dakera
It powers Dakera's detection of forget requests and standing instructions in stored messages, in any language. On by default, on CPU.
Dakera fetches this embedding model from this repository first and from the original repositories if it is unreachable, so installs never depend on a single source. Both are checked against the same SHA-256, and the Dakera Docker image ships the default models ready to run, with no download at startup.
Files
Copied byte for byte from:
| File | Source | Size |
|---|---|---|
onnx/model_int8.onnx |
Xenova/paraphrase-multilingual-MiniLM-L12-v2 | 118.1 MB |
tokenizer.json |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | 9.1 MB |
SHA-256 checksums
d6ea442ff6a891daefed7c83b2f596fc5dc66bf697e4d006236f64f34bbcf4c8 onnx/model_int8.onnx
2c3387be76557bd40970cec13153b3bbf80407865484b209e655e5e4729076b8 tokenizer.json
Licence and credit
Apache-2.0, the same as the original model (see LICENSE). For what the model does, how it was trained and how to cite it, see the original model card.
About Dakera
Dakera is a self-hosted memory engine for AI agents. It gives agents long-term memory that survives sessions: hybrid vector and full-text retrieval, reranking, entity extraction and importance decay, in a single Rust binary that runs on your own servers, with an MCP server for Claude, Cursor and other agents.
docker run -p 3000:3000 -e DAKERA_ROOT_API_KEY=dk-mykey ghcr.io/dakera-ai/dakera:latest
| 馃寪 Website | dakera.ai |
| 馃摎 Documentation | dakera.ai/docs |
| 馃捇 GitHub | github.com/Dakera-AI |
| 馃殌 Self-hosting (Docker, Kubernetes, Helm) | dakera-deploy |
| 馃攲 MCP server | dakera-mcp |
| 馃О SDKs | Python 路 TypeScript 路 Go 路 Rust |
| 馃捈 LinkedIn | Dakera AI |
Questions or feedback: amine@dakera.ai.