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Fine-tune AI models for your specific needs

Transform generic open source models into specialized domain experts with Nebius AI Studio. Select, customize using LoRA or full fine-tuning, harness massive batch inference to distill advanced reasoning capabilities, then deploy and scale your tailored AI solutions — all in one seamless platform.

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Extensive model selection

Access 30+ leading open source models including Llama 3 series and Qwen. Support for both LoRA and full supervised fine-tuning approaches based on your needs.

Deploy models in seconds

Skip the infrastructure headaches with our high-performance GPU clusters and automatic model deployment for key models like Llama 3.3-70B and Qwen2.5-72B.

Developer-friendly workflow

Move from selection to deployment in minutes with our OpenAI-compatible API, intuitive UI, and transparent per-token pricing.

Build specialized AI solutions

Advanced LoRA fine-tuning

Adapt models to classification tasks, code completion, or domain-specific requirements without extensive prompt engineering. Achieve better results with less data.

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Seamless model deployment

Fine-tune your custom LLM and deploy it instantly — no complex infrastructure required. Download model checkpoints for local use or auto-deploy serverlessly on our infrastructure. Scale from prototype to production seamlessly as your needs grow.

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Optimized for real-world applications

Improve classification accuracy and reduce hallucinations on domain-specific tasks. Learn how to fine-tune an LLM for your specific use case with our step-by-step guides.

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Make AI work for you: fine-tuning on Nebius AI Studio

In this video Mashrur Haider, Technical Product Manager at Nebius, will tell you about fine-tuning on Nebius AI Studio.

It allows you to transform leading open-source models into specialized solutions tailored to your needs.

Calling API

ft_job = client.fine_tuning.jobs.create(     
    training_file=fine_tuning_train_file.id,     


validation_file=fine_tuning_validation_file.id,     
    model="meta-llama/Llama-3.1-8B-Instruct",     
    hyperparameters={         
        "n_epochs": 3,         
        "batch_size": 32,         
        "lora": True,         
        "lora_r": 16,         
        "lora_alpha": 16,     
          
      },     
      seed=42 
) 
ft_job
Learn more about our API

Fine-tune models with confidence

Our intuitive platform makes it easy to configure training and monitor progress.

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Transparent, competitive pricing

Pay only for the compute resources you use during LoRA fine-tuning and inference. No monthly fees, infrastructure costs, or hidden charges.

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Start your journey with these in-depth guides

Beyond prompting: fine-tuning LLMs

Learn how to customize open source models for your specific requirements and improve performance on domain-specific tasks.

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Make AI work for you

Fine-tuning launch Discover how Nebius AI Studio’s fine-tuning service transforms generic models into specialized solutions with 30+ leading open source models.

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Join us on your favorite social platforms

Own Studio’s X page for instant updates, LinkedIn for those who want more detailed news, and Discord for technical inquiries and meaningful community discussions.

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Questions and answers

Enhanced conversational AI:

  • Create domain-specific virtual assistants for customer service, education, or HR.
  • Develop multilingual chatbots with specialized product knowledge.
  • Build assistants that follow your company’s communication guidelines.

Specialized content generation:

  • Fine-tune models to generate code aligned with your codebase and standards.
  • Create content generators that match your brand voice and technical requirements.
  • Build documentation tools that maintain consistency with existing materials.

Domain-specific knowledge systems:

  • Develop specialized models for finance, healthcare, legal, or technical domains.
  • Create accurate question-answering systems trained on your knowledge base.
  • Build research assistants that understand your industry’s terminology and concepts.

Cost optimization through model distillation:

  • Distill advanced reasoning capabilities from larger models into efficient, specialized versions.
  • Deploy more cost-effective models while maintaining performance for your specific use cases.
  • Create lightweight versions for real-time applications or high-volume scenarios.

Start your journey

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More to know

Documentation​
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