Fine-tune, evaluate, and deploy your next LLM
All without code.

HOW IT WORKS

Curate dataset, add API key, run fine-tuning process, compare between models and iterate development.

Dataset

Dataset

Create Dataset

Create a dataset by writing the chats between user and assistant, all in the browser.

Integrate API Key

Integrate your OpenAI API key to get access to the fine-tuning process. We support different models (Gemini, Llama, etc) soon.

Fine-tune the Model

Fine-tune the model with the dataset you created, choose the base model and the hyperparameters.

Evaluate Performance

After the training is done, you can try and run the model. Give the model a score and there will be a auto-generated heatmap that shows how well the fine-tuned model performs agains the base models.

Deploy and Record the Usage

Use your model out of the box with our SDK. If you are using OpenAI library, you only need to change the baseUrl and no code changes needed. Integrate with OneLLM APIKey to record the usage of the model. Know the usage of the model and the performance of the model.

TESTIMONIALS

We might be young but hear what our users have to say.

  • "UImagine uses LLM to generate front-end components for our users. Sometimes, the output's messy and unrenderable. OneLLM.co allows us to train LLM to have structure on those responses. Now our generated code is clean, reducing errors like 80%. Huge time-saver without writing a single line of code."
    Daniel KurniadiFounder, UImagine.io
  • "Before OneLLM.co, fine-tuning our smaller customer service model was time consuming. Now we can make datasets, plug in our API key, and boom – training run & our chatbot performance has increased! Customers are happier, and our team has time to innovate."
    Sarah NguyenLead AI Engineer, HelpDesk Inc.
  • "I was constantly switching between Notion and spreadsheets to organize my data, and do all the tedious coding to integrate my system w/ OpenAI, LLaMa in GCP etc. Now, everything is SO MUCH easier and integrated in one place."
    Chris LeeFounder and CTO, Stealth Startup
  • "thx - u save me a lot of time that would have been wasted to try diff models and apis - highly recommend 🙏"
    Alex PatelFreelance Software Engineer
  • "We wanted to incorporate LLMs into our product, but our developers and non-technical team members were always on different pages. OneLLM.co's no-code interface has become a bridge, letting everyone contribute to building and testing our models"
    Maya SinghProduct Manager, InnovateLabs
  • "Honestly, I was hesitant about fine-tuning my own LLM models. Seemed too complex... but OneLLM.co makes it surprisingly simple. Now, I can experiment with different datasets and API providers quickly."
    Olivia ZhangIndependent AI Researcher

PRICING

Choose the plan that works best for you.

Free

$0

/mo

  • 1 project
  • Up to 1 user per project
  • 10,000 logs per month
  • 48-hour support response time

Pro

$19

/mo

  • 3 days free-trial cancel anytime
  • Unlimited projects
  • Up to 10 users per project
  • Unlimited logs
  • 24-hour support response time
  • Biweekly vote for feature requests to our team

Enterprise

Contact Us

  • Custom features and integrations
  • Unlimited users
  • Priority support
  • HIPAA and SOC 2 compliance
  • Support LLaMa 2, Gemini, Mistral, and more models

Frequently asked questions

Build your custom

Save up to 80% in time and resources, all without code.

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