Tune model quality, speed, and costs to your use case

Customize open models using the most powerful optimization and tuning techniques

Reinforcement Fine Tuning

Improve model quality with reinforcement fine tuning

Our platform allows you to train frontier open-source models for multi-turn agents, offering a user-friendly experience for app developers while delivering the power to surpass closed-source models in performance, quality, and tool interaction.

Train expert open models with just a few examples

RFT lets open models match frontier quality up to 10× faster, with just an evaluator and a few examples

Superior Multi-Turn Agent Performance

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.

No Vendor Lock-In, Easy Model Swapping

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.

Enterprise-grade security and reliability

Choose flexible deployment methods, including full management by Fireworks or self-managed data and rollouts within your own environments for highly regulated industries.

Supervised Fine Tuning

Fine tune with your own data

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

Multi LORA

Serve personalized models at scale

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 managed.

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Instantly run popular and specialized models.

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Customer Stories and Tutorials

Explore our latest customer case studies to see real-world impact and dive into our product tutorials to master the art of Fine Tuning.

Fireworks RFT: Build AI agents with fine-tuned open models that outperform frontier closed models

10 NOV, 2025Announcement

Genspark’s Deep Research agent outperforms a frontier closed model in quality and tool calls using Fireworks RFT, achieving a 50% cost reduction

31 OCT, 2025Genspark

Genspark’s Deep Research Agent Outperforms a Frontier Closed Model in Quality and Tool Calls using Fireworks Reinforcement Fine Tuning, Achieving a 50% Cost Reduction

40X faster, and smarter outputs: How Vercel turbocharged their code fixing model with open models, speculative decoding and reinforcement fine tuning on Fireworks

3 NOV, 2025Vercel