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BETAVLM & MoE Training
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Train AI That Knows Your Business

The only Windows desktop app that lets you fine-tune AI models without writing a single line of code. Choose from 2.1 million+ Hugging Face models, train on your PDFs, documents, websites, or entire GitHub repositories, and export production-ready AI that runs anywhere.100% private. Your data never leaves your computer.

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Air-gapped training
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2-3x faster with Unsloth
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Export to Ollama & GGUF
See All Features
2.1M+Models Available
5Training Methods
70%Less VRAM with QLoRA
100%Private & Local

Built for industries where data privacy is non-negotiable:

Legal & Law FirmsHealthcare & MedicalFinancial ServicesGovernment & DefenseResearch & Academia

Everything You Need to Train Custom AI

Professional-grade LLM fine-tuning in a desktop application. No command line, no cloud dependencies, no data sharing. Just powerful AI training on your terms.

Unique
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No Coding Required

Complete graphical interface for the entire workflow. Upload documents, configure training, export models - all point-and-click. No Python, no command line, no ML degree needed.

HIPAA Ready
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100% Private & Local

Your documents never leave your computer. Train on confidential legal briefs, medical records, financial data, or proprietary research. Air-gapped capable for maximum security.

Hugging Face
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2.1 Million+ Models

Access the entire Hugging Face Hub directly from the app. Fine-tune Llama, Mistral, Qwen, Gemma, DeepSeek, and more. Search, filter, and download with one click.

Unsloth
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2-3x Faster Training

Built-in Unsloth acceleration uses optimized Triton kernels to cut training time in half. What takes 8 hours elsewhere takes 3-4 hours with FTS Pro.

CPU/GPU/Cloud
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Run Anywhere

Train on CPU-only for lightweight models, leverage your NVIDIA GPU locally, or burst to cloud GPUs (RunPod, Vast.ai) for larger models. Mix and match based on your needs and budget.

PDF/DOCX/Web/GitHub
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Train on Any Content

Drop in PDFs, Word docs, web URLs, or entire GitHub repositories. Our Content Learning pipeline extracts text, chunks intelligently, and generates training data automatically. Build a reusable content library for future training runs.

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Advanced Capabilities

Professional features typically found only in enterprise ML platforms or complex CLI tools.

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Chat & Test Your Model

Built-in inference chat lets you test your trained model immediately. Ask questions, evaluate responses, and validate quality before export - all within the app.

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5 Training Methods

SFT, DPO, ORPO, KTO, and GRPO (DeepSeek R1 style). Choose the right method for instruction-following, preference alignment, or reasoning enhancement.

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Vision-Language Models

Train multimodal AI that understands images. Support for Qwen2-VL, LLaVA-NeXT, InternVL3, Pixtral, and PaliGemma architectures.

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Mixture of Experts

Fine-tune MoE models like Mixtral, DeepSeek-MoE, and Qwen-MoE. Select specific experts, train routers, and configure load balancing.

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Function Calling

Train models to use tools and APIs. Support for xLAM, OpenAI, Hermes, Glaive, and Gorilla function calling formats.

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Advanced Model Merging

Combine models using TIES, DARE, SLERP, and Linear methods via MergeKit. Create specialized models from multiple fine-tunes.

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LLM-as-a-Judge

Evaluate model quality using GPT-4, Claude, or local models as judges. Automated quality assessment with customizable criteria.

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Safety Guardrails

Scan datasets and evaluate outputs with Llama Guard 3 integration. Detect harmful content before and after training.

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Cloud Training

Need more power? Seamlessly offload to RunPod or Vast.ai GPUs. Train on H100s or A100s when local hardware isn't enough.

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Export to Any Platform

Your trained models work everywhere. Export once, deploy anywhere - from local inference to cloud production.

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GGUF
For Ollama, LM Studio, llama.cpp
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vLLM
High-throughput production serving
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TensorRT-LLM
NVIDIA optimized inference
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ONNX
Cross-platform deployment
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HuggingFace
Push directly to Hub
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Safetensors
Secure model format

MLOps Ready: Integrate with Weights & Biases, MLflow, and TensorBoard for experiment tracking

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How FTS Pro Compares

The only Windows-native GUI with CPU, local GPU, and cloud training options. Zero command line required.

Train Your Way

Choose the hardware that fits your needs

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CPU Training

Train smaller models (≤3B parameters) without a GPU. Perfect for testing and lightweight fine-tuning.

Best for: Experimentation, small datasets, budget setups

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Local GPU

Leverage your NVIDIA GPU for fast local training. QLoRA enables 70B models on consumer hardware.

Best for: Privacy-critical data, frequent training, no recurring costs

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Cloud GPU

Burst to RunPod or Vast.ai for H100/A100 power. Pay only for what you use.

Best for: Large models, occasional training, maximum speed

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Hybrid Mode

Prepare data locally, train on cloud, then test locally. Best of both worlds.

Best for: Enterprise workflows, large-scale projects

Feature
FTS ProWINDOWS GUI
AxolotlCLI TOOL
OpenAICLOUD API
LLaMA-FactoryCLI + WEBUI
Setup & Ease of Use
Installation Time
5 minutes
30-60 minutes
API setup
15-30 minutes
Coding Required
optional
Full GUI Interface
basic
Windows Native
Hardware Flexibility
CPU-Only Training
Local GPU Training
Cloud GPU Integration
RunPod & Vast.ai
Hybrid Local/Cloud
Training Capabilities
Training Methods
SFT, DPO, ORPO, KTO, GRPO
SFT, DPO, ORPO, KTO
SFT only
SFT, DPO, ORPO, KTO
Unsloth 2-3x Speedup
VLM Training
MoE Fine-tuning
limited
Content & Data Pipeline
GitHub Repo Import
PDF/DOCX Extraction
Content Library
Auto Q&A Generation
Inference & Testing
Built-in Chat Testing
Playground
LLM-as-Judge Eval
GGUF Export
vLLM/TensorRT Export
Privacy & Control
Data Privacy
100% local
100% local
Uploaded to OpenAI
100% local
Air-Gapped Training
Model Ownership
Full ownership
Full ownership
Limited rights
Full ownership
// Cost Analysis

One Price, Unlimited Training

Early Adopter Program: Free access for beta testers

BETA ACCESS
Fine-Tuning Studio Pro
$299FREE
$0
Limited beta spots available
OpenAI Fine-tuning
Pay-per-token
$25/M tokens
Plus inference costs
Together AI
Pay-per-token
$0.80-2/M tokens
Cloud only
RunPod (self-managed)
Hourly GPU rental
$0.39-2.99/hr
Requires CLI tools

Stop paying per token. Stop wrestling with CLI tools.
Professional LLM fine-tuning with complete privacy.

Product Roadmap

Fine-Tuning Studio Pro v3.0 is feature-complete with professional-grade capabilities. Here's what's built and what's coming next.

Available Now
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Core Training Engine

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    5 Training Methods: SFT, DPO, ORPO, KTO, GRPO
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    Unsloth Acceleration (2-3x faster)
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    QLoRA/LoRA/DoRA Support (70% less VRAM)
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    2.1M+ Hugging Face Models
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    Windows-native GUI
Available Now
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Content Learning

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    PDF & DOCX Document Extraction
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    Web Page Content Extraction
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    Automatic Q&A Generation
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    Synthetic Data Generation
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    Multi-format Dataset Export
Available Now
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Advanced Training

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    Vision-Language Model (VLM) Training
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    Mixture of Experts (MoE) Fine-tuning
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    Function Calling Training
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    RLAIF (AI Feedback)
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    Continued Pretraining
Available Now
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Export & Evaluation

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    GGUF Export (15+ quantization types)
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    vLLM, TensorRT-LLM, ONNX Export
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    Advanced Model Merging (MergeKit)
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    LLM-as-a-Judge Evaluation
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    Safety Guardrails (Llama Guard 3)
Available Now
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Cloud & Enterprise

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    RunPod Cloud Integration
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    Vast.ai GPU Marketplace
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    MLOps (W&B, MLflow, TensorBoard)
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    API Platform with Webhooks
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    Multi-tenant Support
Q2-Q3 2026
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Coming Next

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    macOS Support (Apple Silicon)
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    Linux Desktop App
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    Model Versioning & A/B Testing
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    Team Content Library (shared training data)
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    Public Content Marketplace
Q4 2026

Enterprise & Deployment

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    One-Click Chatbot Deployment
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    Website & SharePoint Integration
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    Microsoft Teams Bot Connector
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    Company Intranet Deployment
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    Enterprise SSO & Audit Logs

959+ automated tests ensure reliability across all features

Frequently Asked Questions

Everything you need to know about training custom AI models with Fine-Tuning Studio Pro.

Ready to Get Started?

Questions about FTS Pro? Want a demo? We typically respond within 24 hours.