nomic-embed-text
A high-performing open embedding model with a large token context window.
⬇ 82.2M indirme · 3 varyant · 02.2024
Kendi bilgisayarınızda veya sunucunuzda ücretsiz çalıştırabileceğiniz modeller. Katalog ollama.com kütüphanesiyle canlı senkrondur · Son senkron: 13.08.2026 22:48.
12 model
A high-performing open embedding model with a large token context window.
⬇ 82.2M indirme · 3 varyant · 02.2024
State-of-the-art large embedding model from mixedbread.ai
⬇ 13.5M indirme · 4 varyant · 05.2024
BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.
⬇ 5.8M indirme · 3 varyant · 08.2024
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
⬇ 3.6M indirme · 12 varyant · 09.2025
Embedding models on very large sentence level datasets.
⬇ 3.4M indirme · 10 varyant · 05.2024
A suite of text embedding models by Snowflake, optimized for performance.
⬇ 3.1M indirme · 16 varyant · 04.2024
EmbeddingGemma is a 300M parameter embedding model from Google.
⬇ 1.7M indirme · 5 varyant · 09.2025
Sentence-transformers model that can be used for tasks like clustering or semantic search.
⬇ 934.2K indirme · 3 varyant · 08.2024
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
⬇ 703.8K indirme · 0 varyant · 12.2025
Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.
⬇ 439K indirme · 3 varyant · 12.2024
The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.
⬇ 351.3K indirme · 6 varyant · 12.2024
Embedding model from BAAI mapping texts to vectors.
⬇ 279.6K indirme · 3 varyant · 08.2024
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