灵码2.6-flash模型现已开源,这是一个专为现实世界智能体工作流构建的快速、高效的指令模型。该模型总参数量达1040亿,激活参数量为74亿,并提供BF16、FP8和INT4多种量化版本以适应不同部署需求。其核心优势包括:生成速度高达每秒215个token,在完整评估中仅消耗1500万token,效率突出;在代码、文档处理和轻量级智能体工作流等实际任务中表现强劲;同时,其中英文切换能力及与主流编程框架的兼容性也得到了进一步改善。
Ling-2.6-flash is now officially open-sourced! A fast, token-efficient Instruct model built for real-world agent workflows. 104B total parameters · 7.4B active parameters Available in BF16, FP8, and INT4 variants for different deployment needs. Key strengths: - Fast generation: 215 tokens/s on Artificial Analysis Output Speed - High token efficiency: only 15M tokens on the full AA Intelligence Index evaluation - Real task execution: strong performance across coding, document processing, and lightweight agent workflows - Improved experience: better Chinese-English switching and smoother compatibility with mainstream coding frameworks