view post Post 205 Check out Tarka-v1 embedding models for search, retrieval, RAG. These models are distilled versions of larger embeddings like Qwen3-Embedding and EmbeddingGemma, but come in much smaller sizes 350M and 150M parameters.For Model and Blog post refer : Models : https://hf.co/collections/Tarka-AIR/tarka-embed-v1Demo : Tarka-AIR/Tarka-EmbeddingBlogpost: https://tarka-air.gitbook.io/home/tarka-v1/tarka-embedding-v1For performance please checkout the leaderboards:MTEB : mteb/leaderboardFreshStack : freshstack/leaderboard See translation
Tarka Embed V1 Tarka-AIR/Tarka-Embedding-150M-V1 Feature Extraction • 0.2B • Updated Nov 18, 2025 • 567 • 7 Tarka-AIR/Tarka-Embedding-350M-V1 Feature Extraction • 0.4B • Updated Nov 19, 2025 • 78 • 14
Tarka Embed V1 Tarka-AIR/Tarka-Embedding-150M-V1 Feature Extraction • 0.2B • Updated Nov 18, 2025 • 567 • 7 Tarka-AIR/Tarka-Embedding-350M-V1 Feature Extraction • 0.4B • Updated Nov 19, 2025 • 78 • 14