Açık Kaynak AI Modelleri

Kendi bilgisayarınızda veya sunucunuzda ücretsiz çalıştırabileceğiniz modeller. Katalog ollama.com kütüphanesiyle canlı senkrondur · Son senkron: 13.08.2026 22:48.

12 model

nomic-embed-text-v2-moe

nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.

Embedding

⬇ 703.8K indirme · 0 varyant · 12.2025

qwen3-embedding

Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes

Embedding 0.6b 4b 8b

⬇ 3.6M indirme · 12 varyant · 09.2025

embeddinggemma

EmbeddingGemma is a 300M parameter embedding model from Google.

Embedding 300m

⬇ 1.7M indirme · 5 varyant · 09.2025

granite-embedding

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.

Embedding 30m 278m

⬇ 351.3K indirme · 6 varyant · 12.2024

snowflake-arctic-embed2

Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.

Embedding 568m

⬇ 439K indirme · 3 varyant · 12.2024

bge-m3

BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.

Embedding 567m

⬇ 5.8M indirme · 3 varyant · 08.2024

paraphrase-multilingual

Sentence-transformers model that can be used for tasks like clustering or semantic search.

Embedding 278m

⬇ 934.2K indirme · 3 varyant · 08.2024

bge-large

Embedding model from BAAI mapping texts to vectors.

Embedding 335m

⬇ 279.6K indirme · 3 varyant · 08.2024

all-minilm

Embedding models on very large sentence level datasets.

Embedding 22m 33m

⬇ 3.4M indirme · 10 varyant · 05.2024

mxbai-embed-large

State-of-the-art large embedding model from mixedbread.ai

Embedding 335m

⬇ 13.5M indirme · 4 varyant · 05.2024

snowflake-arctic-embed

A suite of text embedding models by Snowflake, optimized for performance.

Embedding 22m 33m 110m 137m

⬇ 3.1M indirme · 16 varyant · 04.2024

nomic-embed-text

A high-performing open embedding model with a large token context window.

Embedding

⬇ 82.2M indirme · 3 varyant · 02.2024

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  3. İlk indirme sonrası model tamamen çevrimdışı çalışır