amaretto‑embed‑148m
embeddinggguf
Compact embeddings for retrieval, RAG, semantic search, clustering, and classification — EmbeddingGemma‑300m with its vocabulary trimmed to the languages it serves. Half the encoder, 2.5× less RAM, and 99.8% of the original's retrieval quality. Best for: search, RAG, clustering, classification. Eight Latin-script languages and source code.
- Params
- 148 M
- Dimensions
- 768
- Context
- 2,048
- Base
- EmbeddingGemma
- License
- Gemma