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all-MiniLM-L6-v2

Lightweight embedding model for Dakera 路 a verified mirror by Dakera, the self-hosted memory engine for AI agents

Dakera: dakera.ai Docs: dakera.ai/docs GitHub: Dakera-AI License: Apache-2.0 Original: sentence-transformers/all-MiniLM-L6-v2

An unmodified, checksum-verified copy of the files Dakera uses from sentence-transformers/all-MiniLM-L6-v2. The model is by sentence-transformers; all credit goes to its authors.

In Dakera

The lightest embedding model Dakera supports, for small hosts: DAKERA_MODEL=minilm.

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.onnx Xenova/all-MiniLM-L6-v2 90.4 MB
onnx/model_quantized.onnx Xenova/all-MiniLM-L6-v2 23.0 MB
config.json sentence-transformers/all-MiniLM-L6-v2 612 B
model.safetensors sentence-transformers/all-MiniLM-L6-v2 90.9 MB
tokenizer.json sentence-transformers/all-MiniLM-L6-v2 466.2 kB
SHA-256 checksums
759c3cd2b7fe7e93933ad23c4c9181b7396442a2ed746ec7c1d46192c469c46e  onnx/model.onnx
afdb6f1a0e45b715d0bb9b11772f032c399babd23bfc31fed1c170afc848bdb1  onnx/model_quantized.onnx
953f9c0d463486b10a6871cc2fd59f223b2c70184f49815e7efbcab5d8908b41  config.json
53aa51172d142c89d9012cce15ae4d6cc0ca6895895114379cacb4fab128d9db  model.safetensors
be50c3628f2bf5bb5e3a7f17b1f74611b2561a3a27eeab05e5aa30f411572037  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.

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