Snowflake Arctic Embed M v2.0. Multilingual retrieval embeddings, 768-dimensional, 8192-token context. Queries take the prefix "query: "; documents take no prefix.
Verified bit-identical to HuggingFace sentence-transformers (cosine similarity >= 0.999 on test texts).
Usage with CrispEmbed
CrispEmbed is a lightweight C/C++ text embedding inference engine using ggml.
No Python runtime, no ONNX. Supports BERT, XLM-R, Qwen3, and Gemma3 architectures.
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