Finetune ML models in days, not weeks.
FinetuneFast is a boilerplate codebase for fine-tuning and deploying machine learning models, covering text-to-image and LLM use cases. It provides pre-configured training scripts, data loading pipelines, hyperparameter optimization tools, and multi-GPU support, along with inference boilerplates, RAG examples, and templates for deployment. Included models and integrations cover AWS Bedrock, Mistral AI, OpenAI, and a text-to-image model (Flux-Schnell), plus a text-to-speech example (Fish-Speech).
Deployment and scaling features include one-click model deployment, auto-scaling infrastructure, API endpoint generation, and monitoring and logging setup. It is sold as a one-time purchase with two tiers: a Starter plan and an All In plan, the latter adding Discord community access and lifetime updates. It is aimed at developers, indie makers, and businesses building and shipping AI products, including ML beginners, with documentation and Discord support provided.
No, FinetuneFast is a one-time purchase: the Starter plan is $99.99 (regularly $159.99) and the All In plan is $119.99 (regularly $199.99).
You get finetuning boilerplates, production-ready inference boilerplates, RAG examples and templates, and best practices for high-standard fine-tuning; the All In plan adds Discord community access and lifetime updates.
The repository includes models for AWS Bedrock, Mistral AI, and OpenAI, plus a RAG example, a Fish-Speech TTS example, and the Flux-Schnell text-to-image model.
Yes, it's designed to be user-friendly for ML beginners with documentation and Discord community support, though those with no programming experience are advised to find a developer or start with no-code solutions.
Yes, the boilerplates and templates are flexible and can be reused across multiple projects without restriction.
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