Finetunefast
FinetuneFast is an ML boilerplate toolkit that accelerates fine-tuning, inference and deployment for text-to-image, LLMs and multimodal models, providing pre-built training scripts, production-ready inference templates and one-click deployment to help developers and makers ship AI apps quickly.
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Quick Overview
Best for: Creative & Design
What it does
Developer Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
Creative & Design
Pricing snapshot
Paid from $159.99 (sale price $99.99)
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Finetunefast
FinetuneFast provides a collection of finetuning and inference boilerplates, templates, and best-practice examples to help developers, indie makers and businesses move from model experimentation to production quickly. The product focuses on reducing setup time (environment, data preprocessing, API integration, evaluation and deployment) by delivering pre-configured training scripts, inference examples, and deployment automation.
Built by an ML engineer with SRE experience, FinetuneFast targets users who want to finetune models (text-to-image, LLMs, TTS, multimodal) and deploy them with minimal operational overhead. It includes example integrations for multiple model providers, RAG examples, and materials intended to shorten the end-to-end timeline from days to hours.
FinetuneFast is an ML boilerplate toolkit that accelerates fine-tuning, inference and deployment for text-to-image, LLMs and multimodal models, providing pre-built training scripts, production-ready inference templates and one-click deployment to help developers and makers ship AI apps quickly.
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Pre-configured training scripts
Production-ready training scripts that remove common setup tasks so you can start finetuning quickly.
Efficient data pipelines
Data loading and preprocessing pipelines designed to speed up preparing and feeding training data.
Hyperparameter optimization tools
Utilities and examples for tuning hyperparameters to improve model performance.
Multi-GPU support
Out-of-the-box support for multi-GPU training to scale up experiments.
No-code finetuning options
No-code workflows to simplify finetuning for users who prefer minimal scripting.
Production-ready inference boilerplates
Inference templates and examples (including RAG) for shipping AI-SaaS products.
One-click model deployment
Automated deployment that generates API endpoints and handles infrastructure setup.
Auto-scaling infrastructure
Deployment tooling that supports auto-scaling to handle production load.
Monitoring and logging setup
Pre-configured monitoring and logging to observe deployed models and endpoints.
RAG & TTS examples
Ready examples for retrieval-augmented generation and text-to-speech (Fish-Speech) workflows.
Model & provider examples
Included examples and compatibility with providers and models such as OpenAI, Mistral, AWS Bedrock, and others.
Pricing
Starter
$159.99 (sale price $99.99)- Finetuning boilerplates
- Production-ready inference boilerplates
- RAG examples and templates
- Best practices and examples to ship AI products
All In
$199.99 (sale price $119.99)- Finetuning boilerplates
- Production-ready inference boilerplates
- RAG examples and templates
- Best practices for high-standard finetuning
Use Cases
Text-to-image model finetuning
Finetune image generation models (e.g., Flux-Schnell) using provided boilerplates to customize outputs for artistic or commercial use.
LLM finetuning and instruction tuning
Fine-tune LLMs and preference models (e.g., Preference Finetuning for OpenAI) for domain-specific assistants or specialized NLP tasks.
Multimodal model deployments
Deploy multimodal models (e.g., Molmo-7B) with example inference and deployment configurations.
RAG-powered applications
Build retrieval-augmented generation pipelines with provided RAG examples and templates for knowledge-grounded apps.
Text-to-speech (TTS) services
Use included TTS examples (Fish-Speech) to build audio or accessibility features into products.
AI SaaS product shipping
Leverage production-ready inference boilerplates and deployment automation to launch AI-based SaaS quickly.
Integrations
OpenAI
Examples and finetuning/ preference tuning workflows referencing OpenAI models and APIs.
AWS Bedrock
Included examples that demonstrate usage patterns for Bedrock models.
Mistral AI
Compatibility and examples for Mistral models and deployments.
Flux-Schnell (text-to-image)
Text-to-image model included as an example for image generation finetuning.
Fish-Speech (TTS)
Text-to-speech example included to demonstrate TTS workflows.
Benefits
Limitations
Frequently Asked Questions
What do I get with FinetuneFast?
How can I use FinetuneFast?
What models do I get with FinetuneFast?
Can I use FinetuneFast for several projects?
What if I cannot get it to work?
Is FinetuneFast suitable for ML beginners?
If I get the All In plan, how often is it updated?
How long does it take to get access after purchase?
Getting Started
- 1 Step 1: Choose a plan and purchase FinetuneFast (Starter or All In).
- 2 Step 2: Receive manual access to the GitHub repository and materials (access is granted within a maximum of 24 hours).
- 3 Step 3: Follow the provided documentation and examples in the repo to configure your environment and start finetuning using the included boilerplates.
- 4 Step 4: Use the one-click deployment tools to generate API endpoints and deploy with monitoring and auto-scaling enabled.
- 5 Step 5: Join the Discord community for support, ask questions and get help with implementation (recommended for technical support).
Support
Documentation
Documentation and instructions included in the GitHub repository and product materials (access after purchase).
Discord
Community support and technical help are provided via a Discord community (All In plan includes Discord access).
Contact Page
Non-technical inquiries and manual access requests can be made via the website contact page.
API
API endpoint generation and inference deployment are part of the product; documentation is provided in the repository and product materials accessed after purchase.
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