Together AI expands fine-tuning service with more models, live metrics, and finer controls

This post introduces several enhancements to the Together Fine-Tuning Platform: expanded model support (GLM-5.3, Kimi K2.7, Qwen 3.5 family, Gemma 4), live experiment tracking with API/CLI/UI visibility of training and validation metrics, expert LoRA for MoE models (demonstrated to improve knowledge injection and expert utilization), early stopping based on validation loss, and arbitrary batch size support via gradient accumulation. It also adds tokenized data inspection and download capabilities for dataset validation, and announces price reductions for LoRA training on selected models.