Together AI 扩展微调服务,新增模型、实时指标与更细粒度控制
Together AI 扩展其微调服务,新增对 GLM-5.3、Kimi K2.7、Qwen 3.8-27B、Gemma 4 等最新开源权重模型的支持,并加入实时实验指标追踪、数据预览与校验、逐样本权重、序列打包控制等能力。其中 LoRA 适配器可直接训练 MoE 专家层,在 200 条虚构事实测试中召回率最高达 89%,仅训练注意力层的适配器为 15%。多数支持模型的训练价格下调,降幅从 30% 起,gpt-oss 系列最高达 70%。

mizer update, giving an effective batch of batch size x gradient accumulation steps. Details in the docs . At Together, we believe that intelligence should be abundant, and we leverage all available systems and algorithmic optimizations to provide the most value to our customers. We continue optimizing our training stack and want to transfer any cost reductions to users. Hence, we are dropping the prices of training for most of the models we support, with savings starting from 30% and reaching 7
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