qwen3

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.

tools thinking 0.6b 1.7b 4b 8b 14b 30b 32b 235b

9.3M Pulls 58 Tags Updated yesterday

qwen3-coder

Alibaba's performant long context models for agentic and coding tasks.

tools cloud 30b 480b

450.8K Pulls 10 Tags Updated 1 week ago

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

15.3K Pulls 12 Tags Updated 1 week ago

smallthinker

A new small reasoning model fine-tuned from the Qwen 2.5 3B Instruct model.

3b

82.5K Pulls 5 Tags Updated 9 months ago

dengcao/Qwen3-Reranker-8B

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.

188.8K Pulls 5 Tags Updated 3 months ago

goekdenizguelmez/JOSIEFIED-Qwen3

Qwen3, but Josiefied and uncensored.

tools thinking 0.6b 1.7b 4b 8b 14b 30b

65.7K Pulls 47 Tags Updated 3 months ago

huihui_ai/qwen3-abliterated

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.

tools thinking 0.6b 1.7b 4b 8b 14b 16b 30b 32b 235b

61.7K Pulls 74 Tags Updated 1 month ago

dengcao/Qwen3-Embedding-0.6B

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...

tools thinking

25.9K Pulls 2 Tags Updated 3 months ago

jaahas/qwen3-abliterated

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.

tools 0.6b 1.7b 4b 8b 14b

22.8K Pulls 6 Tags Updated 5 months ago

dengcao/Qwen3-Embedding-8B

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...

tools thinking

22.2K Pulls 4 Tags Updated 3 months ago

dengcao/Qwen3-Embedding-4B

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 ...

tools thinking

12.1K Pulls 4 Tags Updated 3 months ago

shmily_006/Qw3

qwen3:4b_4bit_不思考版，不浪费算力去思考，直接回答。

tools

9,434 Pulls 4 Tags Updated 5 months ago

alibayram/Qwen3-30B-A3B-Instruct-2507

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

tools thinking

9,415 Pulls 1 Tag Updated 2 months ago

dengcao/Qwen3-Reranker-0.6B

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

tools

8,382 Pulls 2 Tags Updated 3 months ago

mychen76/qwen3_cline_roocode

Quantized version of Qwen3 models (4B,8B,14B,32B, 30B-moe) optimized for tool usage in Cline / Roo Code and solving Complex Problems.

tools 4b 8b 14b 30b 32b

7,810 Pulls 8 Tags Updated 5 months ago

dengcao/Qwen3-Reranker-4B

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...

4,801 Pulls 3 Tags Updated 3 months ago

kirito1/qwen3-coder

tools 1.7b 4b

3,235 Pulls 4 Tags Updated 5 months ago

danielsheep/Qwen3-Coder-30B-A3B-Instruct-1M-Unsloth

Unsloth Dynamic 2.0 Quants achieves 1M tokens & superior accuracy & SOTA quantization performance. Select UD-IQ3_XXS for 16GB VRAM, UD-Q4_K_XL for 24GB VRAM, or UD-Q5_K_XL/UD-Q6_K_XL for 32GB VRAM.

tools

3,044 Pulls 5 Tags Updated 1 month ago

rockn/DeepSeek-R1-0528-Qwen3-8B-IQ4_NL

DeepSeek-R1-0528-Qwen3-8B-IQ4_NL

2,556 Pulls 1 Tag Updated 4 months ago

huihui_ai/qwen3-coder-abliterated

Qwen3-Coder featuring the following key enhancements: Significant Performance, Long-context Capabilities, Agentic Coding.

30b 480b

2,425 Pulls 9 Tags Updated 1 month ago