# High-precision retrieval
Qwen3 Embedding 4B GGUF
Apache-2.0
Qwen3-Embedding-4B is a text embedding model built on the Qwen3 series, designed specifically for text embedding and ranking tasks, and performs excellently in multilingual text processing and code retrieval.
Text Embedding
Q
Mungert
723
1
Qwen3 Reranker 4B Seq
Apache-2.0
Qwen3-Reranker-4B is the latest text re-ranking model with a 4B parameter scale launched by the Tongyi family. It supports over 100 languages and performs excellently in text retrieval tasks.
Text Embedding
Transformers

Q
michaelfeil
122
1
Snowflake Arctic Embed M V1.5
Apache-2.0
Snowflake Arctic Embed M v1.5 is an efficient sentence embedding model, focusing on sentence similarity calculation and feature extraction tasks.
Text Embedding
S
Snowflake
219.46k
58
Bi Encoder Russian Msmarco
MIT
A sentence-transformers model fine-tuned on the MS-MARCO Russian passage ranking dataset, based on the DeepPavlov/rubert-base-cased pre-trained model, designed for asymmetric semantic search in Russian.
Text Embedding
Transformers Other

B
DiTy
74.33k
6
Dmeta Embedding Zh Small
Apache-2.0
Dmeta-embedding-zh-small is a model that performs excellently in multiple natural language processing tasks and is particularly suitable for Chinese text processing.
Text Embedding
Transformers

D
DMetaSoul
10.76k
16
Featured Recommended AI Models