The most powerful vision-language model in the Qwen model family to date.
798.1K Pulls 59 Tags Updated 1 month ago
Alibaba's performant long context models for agentic and coding tasks.
1.3M Pulls 10 Tags Updated 2 months ago
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
15.3M Pulls 58 Tags Updated 2 months ago
The first installment in the Qwen3-Next series with strong performance in terms of both parameter efficiency and inference speed.
207.1K Pulls 10 Tags Updated 1 week ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
194.7K Pulls 12 Tags Updated 2 months ago
A new small reasoning model fine-tuned from the Qwen 2.5 3B Instruct model.
107.9K Pulls 5 Tags Updated 11 months ago
Alibaba's text reranking model.Qwen3-Reranker-8B has the following features: Model Type: Text Reranking. Supported Languages: 100+ Languages. Number of Paramaters: 8B. Context Length: 32k.
196.4K Pulls 5 Tags Updated 6 months ago
105.6K Pulls 74 Tags Updated 4 months ago
Qwen3, but Josiefied and uncensored.
81.7K Pulls 52 Tags Updated 1 month ago
79.7K Pulls 3 Tags Updated 3 months ago
Alibaba's text embedding model.Qwen3-Embedding-0.6B has the following features: Model Type: Text Embedding Supported Languages: 100+ Languages Number of Paramaters: 0.6B Context Length: 32k Embedding Dimension: Up to 1024, supports user-defined output...
34.7K Pulls 2 Tags Updated 2 months ago
Alibaba's text embedding model.Qwen3-Embedding-8B has the following features: Model Type: Text Embedding Supported Languages: 100+ Languages Number of Paramaters: 8B Context Length: 32k Embedding Dimension: Up to 4096, supports user-defined output...
30.4K Pulls 4 Tags Updated 2 months ago
This is the abliterated version of Qwen3, which is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
25.8K Pulls 6 Tags Updated 7 months ago
The most powerful vision-language model in the Qwen3 model family to date.
22.9K Pulls 54 Tags Updated 1 month ago
Alibaba's text embedding model.Qwen3-Embedding-4B has the following features: Model Type: Text Embedding Supported Languages: 100+ Languages Number of Paramaters: 4B Context Length: 32k Embedding Dimension: Up to 2560, supports user-defined output ...
17.4K Pulls 4 Tags Updated 2 months ago
Qwen3-30B-A3B-Instruct-2507 has the following features: - Type: Causal Language Models - Training Stage: Pretraining & Post-training - Number of Parameters: 30.5B in total and 3.3B activated - Number of Paramaters (Non-Embedding): 29.9B - Number of Layers
12.5K Pulls 1 Tag Updated 4 months ago
Alibaba's text reranking model.Qwen3-Reranker-0.6B has the following features: Model Type: Text Reranking Supported Languages: 100+ Languages Number of Paramaters: 0.6B Context Length: 32k
12.1K Pulls 2 Tags Updated 6 months ago
Quantized version of Qwen3 models (4B,8B,14B,32B, 30B-moe) optimized for tool usage in Cline / Roo Code and solving Complex Problems.
10.2K Pulls 8 Tags Updated 7 months ago
qwen3:4b_4bit_不思考版,不浪费算力去思考,直接回答。
10K Pulls 4 Tags Updated 7 months ago
Alibaba's text reranking model.Qwen3-Reranker-4B has the following features: Model Type: Text Reranking Supported Languages: 100+ Languages Number of Paramaters: 4B Context Length: 32k...
6,992 Pulls 3 Tags Updated 6 months ago