view post Post 171 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 🔥 1 1 + Reply
UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning Paper • 2512.24763 • Published Dec 31, 2025