Together AI launches Together Post-Training for custom open-model RL and SFT
Overview
Together AI launches Together Post-Training, a service for building custom models from open-weight models through reinforcement learning (RL) from environment rewards and supervised fine-tuning (SFT) on supervision data, according to a post from the company's X account.
Users define the training loop, data, rewards and environments, and Together runs the underlying infrastructure. LoRA and full-weight training are supported.
The service launches with Muse Spark Open, GLM 5.3, Kimi K3 and Qwen 3.8-27B. Together offers it at $9 per GPU-hour of B200 usage for the first six weeks, a reduced price that applies to the service rather than to all Together products.
Written by AI from the articles below · updated Oct 19, 2:03 PM ET
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Together AI@togethercomputeOfficialTogether AI launches Together Post-Training for custom open-model trainingAITogether AI says its Together Post-Training service is live, letting users turn open models into custom models they own using supervised fine-tuning (SFT) or reinforcement learning (RL). Users define the data, rewards, environments and training loop, while Together runs the underlying infrastructure.

Together AI@togethercomputeOfficialTogether AI launches Together Post-Training for custom model RL and SFTAITogether AI introduces Together Post-Training, a service for building custom models from environment rewards via RL and supervision data via SFT. Users define the training loop while Together manages the underlying infrastructure, with LoRA and full-weight training supported. The service launches with open-weight models including Muse Spark Open, GLM 5.3, Kimi K3, and Qwen 3.8-27B, and is offered at $9 per GPU-hour of B200 usage for the first six weeks.
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