B1ade: 335M embedding model and 1B parameter small language models for minimalist RAG
Read the original at arxiv.org→arXiv:2607.27506v1 Announce Type: new Abstract: Language and embedding models used in RAG systems are conventionally assumed to require large-scale pretraining and explicit grounding supervision. We present B1ade,...
Original headline: "Models for minimalist RAG: B1ade 335M Embedding and 1B Parameter Small Language Models"
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- Jul 31, 04:00 UTC arXiv cs.CL lead source Models for minimalist RAG: B1ade 335M Embedding and 1B Parameter Small Language Models