bge-large-en-v1.5

Dakera's default embedding model · a verified mirror by Dakera, the self-hosted memory engine for AI agents

An unmodified, checksum-verified copy of the files Dakera uses from BAAI/bge-large-en-v1.5. The model is by BAAI; all credit goes to its authors.

In Dakera

It turns every memory and query into a vector: the INT8 ONNX graph on CPU and the FP32 graph on GPU (the safetensors serve builds with the Candle backend). Nothing to configure: it is the default (DAKERA_MODEL=bge-large).

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
config.json	BAAI/bge-large-en-v1.5	779 B
model.safetensors	BAAI/bge-large-en-v1.5	1.3 GB
tokenizer.json	BAAI/bge-large-en-v1.5	711.4 kB
onnx/model.onnx	Xenova/bge-large-en-v1.5	1.3 GB
onnx/model_quantized.onnx	Xenova/bge-large-en-v1.5	337.0 MB

SHA-256 checksums

446712fac367857b4b1302762fe1cd7bfa8b3c4b77b4dc5d77c4025407660896  config.json
45e1954914e29bd74080e6c1510165274ff5279421c89f76c418878732f64ae7  model.safetensors
d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66  tokenizer.json
69ed3f810d3b6d13f70dff9ca89966f39c0a0e877fb88211be7bcc070df2a2ce  onnx/model.onnx
4842b56e233be1cc74770f57f63b1ebb6cf357cca3dd73fcdec35c019f8a5d6e  onnx/model_quantized.onnx

Licence and credit

MIT, 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

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