Custom Training
No reviews yetPost-training for frontier quality at scale, allowing fine-tuning of open-source models for production workloads.
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Features
Fine-tune open-source models with custom data
Conduct reinforcement learning experiments at scale
Run supervised fine-tuning with user-provided demonstrations
Perform high-scale multi-LoRA inference
Optimize models using reward and KL tracking
Merge and quantize models for scalable serving
Configure training jobs through a granular Python SDK
Validate model quality with evaluations
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