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Together AI launches Together Post-Training for custom open-model RL and SFT

2 articles1 sourcesince Oct 19Last article 14m ago ·

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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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The articles in this story. Times are ET.

Oct 19
  1. Together AIOfficial
    Together AI launches Together Post-Training for custom open-model training

    AITogether 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.

    Video from @togethercompute's post
  2. Together AIOfficial
    Together AI launches Together Post-Training for custom model RL and SFT

    AITogether 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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