FinetuneFast

FinetuneFast is a boilerplate codebase for fine-tuning and deploying machine learning models, including text-to-image models, LLMs, and RAG applications. It is built for developers, indie makers, and businesses who want to launch AI products quickly instead of building training and deployment infrastructure from scratch, saving many hours of setup work.

A developer gets the FinetuneFast codebase and uses its pre-configured training scripts, data loading pipelines, and hyperparameter optimization tools to fine-tune a model such as FLUX.1-schnell, Mistral7B, GPT4o-mini, or Pixtral. One-click deployment then turns the fine-tuned model into a live API endpoint with auto-scaling infrastructure and monitoring already set up.

FinetuneFast includes multi-GPU support, no-code AI model finetuning, API endpoint generation, and auto-scaling infrastructure, alongside RAG examples, production-ready inference boilerplates, and templates for shipping AI-SaaS products. The repository is kept updated with new models as they are released, such as Molmo-7B, Llama-3.2-11B-Vision-Instruct, RMBG-1.4, and a Fish-Speech text-to-speech example, as well as the Flux-Schnell text-to-image model.

FinetuneFast is sold as a one-time purchase: a Starter plan at $99.99 (reduced from $159.99) for individuals and small teams, and an All In plan at $119.99 (reduced from $199.99) for businesses, which adds Discord community access, support, and lifetime updates. Both plans allow unlimited projects, and access to the GitHub repository is granted manually within 24 hours of purchase.

Use cases

• Build and launch a text-to-image AI app
• Fine-tune LLMs like Mistral7B or GPT4o-mini
• Deploy inference for AWS Bedrock, Mistral AI, or OpenAI models
• Build RAG applications