Together launches post-training platform: train, compare and deploy LoRA adapters in one place
togethercompute · x · 2026-10-20
Together announced its Post-Training platform, now generally available, covering the full path from experiment to production:
- Train: run many LoRA adapters at once on a shared base model, with each model getting a pre-tested GPU setup and rollout engines tuned for RL
- Evaluate: compare adapters side by side on a Multi-LoRA endpoint and pick the best run
- Serve: deploy the winner merged and quantized on Together, or download the weights (adapter or merged) and run them anywhere
Training and generation are kept in sync, so quality observed during training holds up at serving time. Available today on open models from Meta, GLM, Moonshot and Qwen, with more on the way.
Related event: Together Launches Post-Training Service for Custom Models via SFT and RL(3 posts)→
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