Fine-Tune AI Models Your Way
Customize open-source models for your specific use case. LoRA, full fine-tuning, and DPO training on the latest Llama, Qwen, and DeepSeek models.
Choose Your Fine-Tuning Method
From efficient LoRA adapters to full parameter updates, pick the approach that fits your needs.
LoRA Fine-Tuning
Low-Rank Adaptation for efficient fine-tuning with minimal compute. Train adapters that can be swapped at inference time.
- Up to 10x faster training
- Lower memory requirements
- Easy adapter management
- Best for most use cases
Full Fine-Tuning
Update all model weights for maximum customization. Best when you need deep behavioral changes.
- Maximum model customization
- Better for domain adaptation
- Highest quality results
- Full weight updates
DPO Training
Direct Preference Optimization to align models with human preferences without reward modeling.
- No reward model needed
- Simple preference data
- Align with human feedback
- Efficient RLHF alternative
Supported Models
Fine-tune the latest open-source models from Meta, Alibaba, DeepSeek, and Mistral AI.
| Model | Provider | Parameters | Context | Methods |
|---|---|---|---|---|
| Llama 3.3 70B | Meta | 70B | 128K | LoRAFull |
| Llama 3.1 8B | Meta | 8B | 128K | LoRAFull |
| Llama 3.1 70B | Meta | 70B | 128K | LoRAFull |
| Qwen 2.5 72B | Alibaba | 72B | 128K | LoRAFull |
| Qwen 2.5 7B | Alibaba | 7B | 128K | LoRAFull |
| DeepSeek V3 | DeepSeek | 671B MoE | 128K | LoRA |
| Mistral 7B | Mistral AI | 7B | 32K | LoRAFull |
| Mixtral 8x7B | Mistral AI | 47B MoE | 32K | LoRA |
How It Works
Get your fine-tuned model running in four simple steps.
Prepare Your Data
Upload your training data in JSONL format with prompt-completion pairs or conversation format.
Configure Training
Choose your base model, fine-tuning method, and hyperparameters. Our defaults work great for most cases.
Train & Monitor
Start training and monitor progress in real-time. View loss curves and evaluation metrics.
Deploy & Use
Deploy your fine-tuned model to a serverless endpoint or dedicated instance. Start making API calls immediately.
What Can You Build?
Fine-tuning unlocks endless possibilities for customizing AI to your needs.
Custom Assistants
Create AI assistants tailored to your brand voice, domain expertise, and specific workflows.
Code Generation
Fine-tune models on your codebase to generate code that follows your patterns and conventions.
Domain Expertise
Build models with deep knowledge in specific industries like healthcare, legal, or finance.
Structured Output
Train models to consistently output JSON, SQL, or other structured formats for your applications.
Simple, Transparent Pricing
Pay only for what you use. No hidden fees, no commitments.
LoRA Fine-Tuning
Efficient fine-tuning for most use cases
- Train on any supported model
- Up to 100K training examples
- Automatic hyperparameter tuning
- Checkpoint management
- Deploy to serverless endpoints
Full Fine-Tuning
Maximum customization for demanding workloads
- All LoRA features included
- Full weight updates
- Custom learning schedules
- Priority training queue
- Dedicated GPU allocation
Enterprise
Custom solutions for large-scale training
- Volume discounts
- Dedicated infrastructure
- Custom model architectures
- White-glove support
- SLA guarantees
Ready to Fine-Tune Your First Model?
Start with $10 in free credits. No credit card required.