EmbeddingGemma 300M
Small embedding model for private semantic search and RAG; not a chat model.
The official artifact path was checked. Memory is a conservative planning estimate; speed and output quality require a test on the target device.
- Official model source
- Official engine artifact
Will it run?
MamiLens uses 7 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 embeddinggemmaStart 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: Embedding context varies by runtime. The source establishes specifications; it does not guarantee that maximum context fits at the MamiLens minimum RAM floor.