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LLM Fine-tuning

Customize LLMs with efficient LoRA. Train domain-specific models that understand your business.

Efficient Model Customization

Fine-tune large language models for your specific use case with cutting-edge techniques

LoRA & QLoRA Support

Use Low-Rank Adaptation techniques to fine-tune models efficiently with 10x less memory and compute.

Rapid Training

Complete fine-tuning jobs in hours, not days. Optimized training pipelines for maximum efficiency.

Multiple Base Models

Fine-tune from popular base models including Llama, Mistral, CodeLlama, and more.

Easy Deployment

Deploy your fine-tuned models instantly to our inference platform with one click.

Simple Fine-tuning Process

Get your custom model ready in just a few steps

1

Upload Data

Upload your training dataset in JSON, CSV, or text format

2

Configure Training

Select base model, training parameters, and optimization settings

3

Monitor Training

Track progress with real-time metrics and loss curves

4

Deploy Model

Deploy your fine-tuned model for inference immediately

Popular Use Cases

Fine-tune models for your specific domain and requirements

Customer Support

Train models on your support tickets and documentation

  • ✓Automated ticket responses
  • ✓Product knowledge integration
  • ✓Multi-language support

Code Generation

Create domain-specific code assistants

  • ✓Company coding standards
  • ✓API documentation helpers
  • ✓Bug fixing assistance

Content Creation

Generate content in your brand voice

  • ✓Brand-specific writing
  • ✓Marketing copy generation
  • ✓Technical documentation

Start fine-tuning your model

Create custom models that understand your business and deliver better results.