RFT lets open models match frontier quality up to 10× faster, with just an evaluator and a few examples
Customize your model for complex multi-turn agents, dramatically improving performance with internal tools and function-calling. Bring your own evaluator or work with our team to design one.
Easily test with and train new models as the frontier evolves. Keep your same evaluator and development pipeline, just swap out a new base model name.
Choose flexible deployment methods, including full management by Fireworks or self-managed data and rollouts within your own environments for highly regulated industries.
Customize model behavior by fine-tuning with your own data. Fireworks makes supervised fine-tuning fast, reliable, and cost-effective with an optimized training stack. Train large, state-of-the-art models using advanced methods like quantization-aware training to achieve ideal results
Deploy hundreds of fine-tuned models without added infra or costs. With Multi-LoRA, you can deploy a fine-tuned model for every customer and task—perfect for personalizing quality for B2B interactions. One-click deployment. Fully orchestrated
