Friendli Fine-Tuning:Streamline from fine-tuning to serving
Optimize generative AI performance by customizing models
Unlock your business’s potential with fine-tuned models. Use your data to achieve precise, industry-specific outputs, enhancing performance while saving time and resources.
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Looking for fine-tuning experts?
Experience a fully hands-off model training service. Our AI experts handle everything from model selection and dataset preparation to fine-tuning and deployment, ensuring a seamless process for you.
Fine-tuning
Why fine-tuning?
Optimize open-source or pre-trained custom models with your enterprise data to specialize particular domains or tasks.
Cost, time and dataset efficiency
Leverage smaller, cost-effective models to outperform expensive ones in certain domains.
Why choose Friendli Fine-Tuning?
Parameter-efficient fine-tuning
Achieve rapid model customization with high-quality results while significantly reducing computational resource requirements.
Dedicated expert support
Our team of AI experts will work with you on the entire process of fine-tuning, ensuring that your model is tailored to meet your unique needs efficiently and effectively.
Optimized multi-GPU training
Harness the power of multiple GPUs to speed up the fine-tuning process.
Effortlessly deploy your fine-tuned models
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Friendli Suite not only enables you to easily fine-tune your models but also streamlines the deployment process. You can run your fine-tuned models on autopilot with just a few clicks with Friendli Dedicated Endpoints or meet your privacy and security needs in your own private environment with Friendli Container.
This seamless process ensures high performance and cost-efficiency for your operations.
Start your fine-tuning project now for your custom model
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Llama 3.1
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Llama 3
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Mistral
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Mixtral
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Qwen 2.5
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Gemma 2
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Phi 3.5
and any LLM/LMM or your custom model
Serve a fine-tuned model in one-click
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Friendli Dedicated Endpoints
Seamlessly deploy your fine-tuned model right away in Friendli Dedicated Endpoints
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Friendli Container
Serve your fine-tuned model within your own private environment to meet your privacy and security needs.
Learn more