BGE Large English v1.5 335M
An English embedding model for retrieval and document search. It accepts up to 512 tokens and returns vectors rather than chat answers.
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. 512 token maximum. English embeddings; not a chat model. Embeddings return vectors, not chat answers.
- Official model source
- Official engine artifact
Will it run?
MamiLens uses 9 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 bge-large:335mStart 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: 512 token input limit. The source establishes specifications; it does not guarantee that maximum context fits at the MamiLens minimum RAM floor.