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Qwen3 is a cutting-edge large language model (LLM) series developed by the Qwen team at Alibaba Cloud. The latest updated version, Qwen3-235B-A22B-Instruct-2507, features significant improvements in instruction-following, reasoning, knowledge coverage, and long-context understanding up to 256K tokens. It delivers higher quality and more helpful text generation across multiple languages and domains, including mathematics, coding, science, and tool usage.
Features
- Enhanced Capabilities: Improved logical reasoning, text comprehension, and multi-domain knowledge.
- Long-Context Understanding: Supports contexts up to 256,000 tokens, enabling complex and extended conversations or document processing.
- Better Alignment: Models respond more helpfully and naturally to user instructions and open-ended queries.
- Multiple Model Sizes: Various sizes available, from smaller to the flagship 235B parameters model.
- Non-thinking Mode: Current main release supports non-thinking mode (no <think></think> blocks).
- Multilingual Support: Covers many languages with broader long-tail knowledge.
- Compatible with popular ML frameworks such as Transformers, llama.cpp, Ollama, LMStudio, and more.
- Supported by advanced inference frameworks including SGLang, vLLM, TensorRT-LLM, and others for scalable deployment.
- Offers APIs compatible with OpenAI specifications for seamless integration.
- Supports finetuning with SFT, RLHF, and other training frameworks like Axolotl, UnSloth, Llama-Factory.
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Best open source AI model!