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Finetunefast

A streamlined boilerplate designed for rapid fine-tuning and deployment of AI models in production environments.

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AI Developer Tools AI Models Large Language Models (LLMs)Text to Image AI API No-Code&Low-Code AI Text-to-Speech

About Finetunefast

FinetuneFast offers a comprehensive ML boilerplate to accelerate the fine-tuning and deployment of AI models into production. It minimizes setup complexity, streamlines data preparation, API integration, model evaluation, and infrastructure scaling. Compatible with various models including text-to-image and large language models, it provides pre-built training scripts, efficient data pipelines, and one-click deployment options for faster AI deployment.

How to Use

FinetuneFast delivers ready-to-use boilerplate code, detailed documentation, and practical examples to expedite AI model development. Access pre-configured scripts, data pipelines, and deployment tools to simplify the process. Whether you're a developer or ML engineer, our resources guide you from setup to deployment, with community support available via Discord.

Features

Hyperparameter Tuning Tools

Retrieval-Augmented Generation (RAG) Templates

Production-Ready Inference Components

One-Click Deployment Solutions

Multi-GPU Support for Faster Training

Optimized Data Loading Pipelines

Pre-Built Training Scripts

Monitoring and Logging Integration

Auto-Scaling Infrastructure Support

Reusable Fine-Tuning Boilerplates

Automated API Endpoint Generation

Use Cases

Fine-tuning Large Language Models

Developing AI SaaS Applications

Building and Deploying RAG-Based Systems

Training Text-to-Image Models

Best For

Independent DevelopersAI ResearchersCreative AI ArtistsTech StartupsML EngineersSmall BusinessesAI EnthusiastsEducational Institutions

Pros

Lifetime updates included with the All In plan

Comprehensive boilerplates for various AI models

Includes RAG examples and customizable templates

Supports multiple frameworks and models

Reduces setup time for training and deployment

Features one-click deployment and auto-scaling

Cons

May require programming skills for full utilization

Support primarily available via Discord

Access to GitHub repository and materials may take up to 24 hours

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Starter

$99.99

Ideal for individuals and small teams. Includes fine-tuning boilerplates, production-ready inference scripts, RAG templates, and best practices for high-quality model fine-tuning. Pay once, build unlimited projects.

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All In

$119.99

Designed for businesses and advanced users. Access all features including boilerplates, inference tools, RAG templates, community support, and lifetime updates. Pay once, and develop limitless projects.

Get Started

Frequently Asked Questions

Find answers to common questions about Finetunefast

What does FinetuneFast include?

It provides boilerplates for fine-tuning, production-ready inference, RAG examples, templates, and best practices. Depending on your plan, you also gain access to community support and lifetime updates.

How do I start using FinetuneFast?

Detailed documentation and step-by-step guides are available for all resources. Our community can assist via Discord for troubleshooting and advice, whether you're a beginner or experienced ML engineer.

Which models are supported by FinetuneFast?

We continuously add new models, including those for AWS Bedrock, Mistral AI, OpenAI, and more. Currently, the repository features models like Flux-Schnell for text-to-image, along with RAG and speech synthesis examples.

Can I use FinetuneFast for multiple projects?

Absolutely. The boilerplates and templates are flexible for various applications, enabling you to fine-tune different models across multiple projects without limitations.

What if I encounter issues during setup?

Support is available through our Discord community. You can also contact us directly. We’re committed to helping you resolve issues quickly for a smooth experience.

Is FinetuneFast suitable for ML beginners?

Yes, it’s designed to be user-friendly for newcomers. Clear documentation, example scripts, and community support make onboarding easier. For those with no programming experience, partnering with a developer is recommended.

How often is the All In plan updated?

You receive lifetime updates, ensuring access to the latest models, features, and improvements as they become available.

How long does it take to gain access?

Access to the GitHub repository and materials is processed manually and typically takes up to 24 hours. If you experience delays, please contact us for assistance.