Alibaba announced the release and open-sourcing of its latest large language model, Qwen3. This release includes two Mixture-of-Experts (MoE) models and six dense models, with parameter sizes ranging from 0.6B to 235B. - ThreadSky

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luok.ai • 4 days ago

Alibaba announced the release and open-sourcing of its latest large language model, Qwen3. This release includes two Mixture-of-Experts (MoE) models and six dense models, with parameter sizes ranging from 0.6B to 235B.

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luok.ai•4 days ago

The flagship model, Qwen3-235B-A22B, demonstrates competitive performance in coding, math, and general capabilities in benchmark tests against top models like DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro.

You can experience Qwen3 through the Qwen chat web version and APP. https://chat.qwen.ai/

luok.ai•4 days ago

Additionally, the smaller MoE model, Qwen3-30B-A3B, outperforms [models like Qwen2.5-32B, implied comparison] with ten times the number of activated parameters, while the compact Qwen3-4B model even rivals the performance of Qwen2.5-72B-Instruct.

luok.ai•4 days ago

Fine-tuned models like Qwen3-30B-A3B and their corresponding pre-trained versions (e.g., Qwen3-30B-A3B-Base) are available on platforms such as Hugging Face, ModelScope, and Kaggle.

luok.ai•4 days ago

For deployment, Qwen team recommend using frameworks like SGLang and vLLM; for local use, tools such as Ollama, LMStudio, MLX, llama.cpp, and KTransformers are highly recommended.

luok.ai•4 days ago

Core Features:

Dual Inference Modes: Qwen3 supports both a 'Thinking Mode' (suitable for complex problems requiring step-by-step reasoning) and a 'Non-Thinking Mode' (for quick responses to simple questions).

luok.ai•4 days ago

This flexibility allows users to control the depth of reasoning based on the specific task, balancing cost-efficiency and inference quality.

Blog: https://qwenlm.github.io/blog/qwen3/

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