Skip to main content
Ollama ExplorerBeta
Back to models
localembedding

qwen3-embedding

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

4.3M pulls12 tagsSource updated Sep 23, 202540K max context

Quick start

ollama run qwen3-embedding:0.6b

Runnable variants

Memory is a rough file-size estimate; context length, runtime and GPU offload change it.

12 of 12 matching variants shown.

0.6bTypelocalInputstextDigestac6da0dfba84Download639 MBParameters0.6bQuantizationUnknownContext32KEst. memory≈ 2 GB
ollama run qwen3-embedding:0.6b
0.6b-fp16TypelocalInputstextDigest67a7592a8852Download1.2 GBParameters0.6bQuantizationFP16Context32KEst. memory≈ 2.5 GB
ollama run qwen3-embedding:0.6b-fp16
0.6b-q8_0TypelocalInputstextDigestac6da0dfba84Download639 MBParameters0.6bQuantizationQ8_0Context32KEst. memory≈ 2 GB
ollama run qwen3-embedding:0.6b-q8_0
4bTypelocalInputstextDigestdf5bd2e3c74cDownload2.5 GBParameters4bQuantizationUnknownContext40KEst. memory≈ 4 GB
ollama run qwen3-embedding:4b
4b-fp16TypelocalInputstextDigest3c93b6415795Download8.0 GBParameters4bQuantizationFP16Context40KEst. memory≈ 10 GB
ollama run qwen3-embedding:4b-fp16
4b-q4_K_MTypelocalInputstextDigestdf5bd2e3c74cDownload2.5 GBParameters4bQuantizationQ4_K_MContext40KEst. memory≈ 4 GB
ollama run qwen3-embedding:4b-q4_K_M
4b-q8_0TypelocalInputstextDigest357d756ba8e5Download4.3 GBParameters4bQuantizationQ8_0Context40KEst. memory≈ 6 GB
ollama run qwen3-embedding:4b-q8_0
8bTypelocalInputstextDigest64b933495768Download4.7 GBParameters8bQuantizationUnknownContext40KEst. memory≈ 6.5 GB
ollama run qwen3-embedding:8b
8b-fp16TypelocalInputstextDigestaa924958585eDownload15 GBParameters8bQuantizationFP16Context40KEst. memory≈ 18 GB
ollama run qwen3-embedding:8b-fp16
8b-q4_K_MTypelocalInputstextDigest64b933495768Download4.7 GBParameters8bQuantizationQ4_K_MContext40KEst. memory≈ 6.5 GB
ollama run qwen3-embedding:8b-q4_K_M
8b-q8_0TypelocalInputstextDigest9704fd987c12Download8.0 GBParameters8bQuantizationQ8_0Context40KEst. memory≈ 10 GB
ollama run qwen3-embedding:8b-q8_0
latestTypelocalInputstextDigest64b933495768Download4.7 GBParametersUnknownQuantizationUnknownContext40KEst. memory≈ 6.5 GB
ollama run qwen3-embedding:latest

Related models

layalocal

Laya is a 421M decision model from Convai Innovations, fine-tuned from ModernBERT-large.

mxbai-embed-largelocal

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

bge-largelocal

Embedding model from BAAI mapping texts to vectors.

paraphrase-multilinguallocal

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