qwen/qwen3-30b-a3b-fp8

Qwen3-30B-A3B-Instruct-2507-FP8 is the FP8 quantized version of the high-efficiency Mixture of Experts (MoE) language model launched by Alibaba Tongyi Lab, with its core positioning as an enterprise-level intelligent inference engine featuring "small activation, large capabilities, and low latency".

• Exquisite Design of MoE Architecture: With approximately 30B total parameters and only 3B (A3B) activation parameters, it significantly reduces computational overhead while maintaining high intelligent density.
• Acceleration by FP8 Quantization: Using FP8 precision, it achieves more than 2x improvement in inference throughput on hardware such as NVIDIA H100/A100, with significantly reduced memory footprint.
• 128K Ultra-Long Context: Natively supports long text input, suitable for scenarios such as document summarization, multi-turn dialogue, and complex task planning.
• Optimized Instruction Tuning: Specifically trained for high-quality instruction following, it outputs accurately and reliably in logical reasoning, code generation, and multilingual Q&A.

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Core Capabilities

⚡ Extreme Energy Efficiency Ratio: Achieves 30B-level comprehensive capabilities with a computational cost close to that of a 7B dense model, resulting in higher output per unit of computing power.

🧠 Precise Task Execution: After fine-grained alignment training, it can accurately understand fine-grained instruction requirements such as format, style, and multi-step tasks.

🌍 Multilingual Natural Expression: Covers mainstream languages such as Chinese, English, Japanese, and French, with outputs conforming to local cultural contexts and professional practices.

🛡️ Production Environment Ready: FP8 quantization + MoE architecture, balancing performance, cost, and stability, suitable for deployment in high-concurrency enterprise-level applications.