Snowflake Arctic Embed 2 568M
A multilingual embedding model for document retrieval and semantic search. It returns vectors and must be paired with a chat model for answer generation.
Exact local Ollama manifest and configuration checked on 2026-10-20. Memory figures are conservative planning estimates; no DeviceTerra inference or speed test is claimed. Generates vectors, not chat answers. Embeddings return vectors, not chat answers.
- Official model source
- Official engine artifact
Will it run?
MamiLens uses 10 GB as a conservative planning floor for this profile and its listed quantization. This is not measured speed. Processor, backend support, context length, memory bandwidth and other applications still affect the result.
Check your complete system →What is it useful for?
Suggested Ollama artifact
Confirm the tag on the official page before downloading, then run:
ollama pull snowflake-arctic-embed2:568mStart with a representative non-sensitive task. Record the exact runtime, quantization, context, load time, generation speed, memory use and answer quality.
Evidence and limits
Published context: 8K artifact maximum; practical context depends on memory. The source establishes specifications; it does not guarantee that maximum context fits at the MamiLens minimum RAM floor.