Qwen 3 models released🔥
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Qwen 3 models released🔥
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It offers 2 MoE and 6 dense models with following parameter sizes: 0.6B, 1.7B, 4B, 8B, 14B, 30B(MoE), 32B, and 235B(MoE). 
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It offers 2 MoE and 6 dense models with following parameter sizes: 0.6B, 1.7B, 4B, 8B, 14B, 30B(MoE), 32B, and 235B(MoE). 
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Models: 
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Models: 
https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f
Qwen/qwen3-67dd247413f0e2e4f653967f
collection
resource
https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f
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Blog: 
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Blog: 
https://qwenlm.github.io/blog/qwen3/
https://qwenlm.github.io/blog/qwen3/
link
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Demo: 
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Demo: 
https://huggingface.co/spaces/Qwen/Qwen3-Demo
Qwen/Qwen3-Demo
space
resource
https://huggingface.co/spaces/Qwen/Qwen3-Demo
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GitHub: 
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GitHub: 
https://github.com/QwenLM/Qwen3
https://github.com/QwenLM/Qwen3
link
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✅ Pre-trained 119 languages(36 trillion tokens) and dialects with strong translation and instruction following abilities. (Qwen2.5 was pre-trained on 18 trillion tokens.)
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✅ Pre-trained 119 languages(36 trillion tokens) and dialects with strong translation and instruction following abilities. (Qwen2.5 was pre-trained on 18 trillion tokens.)
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✅Qwen3 dense models match the performance of larger Qwen2.5 models. For example, Qwen3-1.7B/4B/8B/14B/32B perform like Qwen2.5-3B/7B/14B/32B/72B.
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✅Qwen3 dense models match the performance of larger Qwen2.5 models. For example, Qwen3-1.7B/4B/8B/14B/32B perform like Qwen2.5-3B/7B/14B/32B/72B.
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✅ Three stage done while pretraining:
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✅ Three stage done while pretraining:
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	•	Stage 1: General language learning and knowledge building. 
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	•	Stage 1: General language learning and knowledge building. 
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	•	Stage 2: Reasoning boost with STEM, coding, and logic skills. 
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	•	Stage 2: Reasoning boost with STEM, coding, and logic skills. 
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	•	Stage 3: Long context training 
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	•	Stage 3: Long context training 
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✅ It supports MCP  in the model 
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✅ It supports MCP  in the model 
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✅ Strong agent skills 
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✅ Strong agent skills 
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✅ Supports seamless between thinking mode (for hard tasks like math and coding) and non-thinking mode (for fast chatting) inside chat template. 
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✅ Supports seamless between thinking mode (for hard tasks like math and coding) and non-thinking mode (for fast chatting) inside chat template. 
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✅ Better human alignment for creative writing, roleplay, multi-turn conversations, and following detailed instructions. 
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✅ Better human alignment for creative writing, roleplay, multi-turn conversations, and following detailed instructions. 
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Qwen 3 models released🔥
It offers 2 MoE and 6 dense models with following parameter sizes: 0.6B, 1.7B, 4B, 8B, 14B, 30B(MoE), 32B, and 235B(MoE). 
Models: https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f
Blog: https://qwenlm.github.io/blog/qwen3/
Demo: https://huggingface.co/spaces/Qwen/Qwen3-Demo
GitHub: https://github.com/QwenLM/Qwen3

✅ Pre-trained 119 languages(36 trillion tokens) and dialects with strong translation and instruction following abilities. (Qwen2.5 was pre-trained on 18 trillion tokens.)
✅Qwen3 dense models match the performance of larger Qwen2.5 models. For example, Qwen3-1.7B/4B/8B/14B/32B perform like Qwen2.5-3B/7B/14B/32B/72B.
✅ Three stage done while pretraining:
	•	Stage 1: General language learning and knowledge building. 
	•	Stage 2: Reasoning boost with STEM, coding, and logic skills. 
	•	Stage 3: Long context training 
✅ It supports MCP  in the model 
✅ Strong agent skills 
✅ Supports seamless between thinking mode (for hard tasks like math and coding) and non-thinking mode (for fast chatting) inside chat template. 
✅ Better human alignment for creative writing, roleplay, multi-turn conversations, and following detailed instructions. 

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