We fine-tuned Llama 3.1 to beat 10x bigger models 🚀

No-code open source LLM
deployment & finetuning
with MonsterGPT

Finetune LLMs, SDXL, Whisper models on MonsterAPI
at a fraction of the cost & time

Developers from these companies trust MonsterAPI

Checkout how you can fine-tune and deploy open source Generative AI models and enhance their capabilities for your use-case.

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Checkout how you can fine-tune and deploy open source Generative AI models and enhance their capabilities for your use-case.

MonsterGPT

MonsterGPT is a copilot with a chat interface to assist you in fine-tuning and deploying Large Language Models.

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Chat based interface

MonsterGPT provides a chat UI to launch and manage complex AI model finetuning and deployment jobs with ease.

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Automated Job Configuration

MonsterGPT automatically configures hyperparameters and GPU configurations for your fine-tuning jobs.

Seamless Deployment

Deploy your fine-tuned models effortlessly across various platforms, ensuring they are ready for production use.

Try MonsterGPT

Here's what Industry leaders are saying about MonsterAPI

Using MonsterAPI was a game-changer for us. The intuitive interface and robust features made fine-tuning models straightforward and efficient. We were able to deploy models quickly, significantly reducing our time-to-market. The API's performance and reliability have been outstanding, allowing us to achieve our project goals with ease. Our overall success and the specific improvements in our workflows are a testament to the value of MonsterAPI. We highly recommend it to anyone looking to streamline their AI model processes. Thank you for providing such a fantastic product.

Santiago CottoCTO/Co-founder @ goPersonal

We used MonsterAPI to fine-tune and deploy the latest open-source LLMs like CodeLlama-13b and Llama2-7b. Their platform made it simple to train models on custom datasets and use them for inference quickly, including tasks like structured data extractiona and code generation. MonsterAPI was also quick to onboard newly released models like Gemma and Llama3. Overall, MonsterAPI has been very productive for us to stay on the bleeding edge, state of the art AI models.

Nilesh TrivediCTO @ Snowmountain AI

MonsterAPI made fine-tuning and deploying LLMs incredibly easy and efficient for our early-stage at NAYA. It simplified the process, reducing hassle and allowing us to focus on our mission without being bogged down by technical complexities. I highly recommend MonsterAPI for anyone looking to streamline their AI model operations

Sherif KozmanCEO @ naya.finance

Amazingly simple. Scarily fun. I hope devs do not feel threatened by non-dev people when they realize they can finetune too! I highly recommend MonsterAPI

José D’AndradeCEO @ Legaldesign.do

Build with the best Open Source models

Fine-tuner over 60+ open source transformer architecture based Large language models, Whisper models for speech to text and Stable Diffusion models for custom Image generation

68%Boost in
Performance

As seen in our Gemma 2B fine-tuning case study

Upto47%Lower
Cost

40+Open source Language
models supported

Fastest LLM Finetuner
on the planet

Finetune LLMs with MonsterAPI at a
fraction of the cost & time

Works with

Our vision is to give back to the developer community.

Generative AI

Explore

learn more through our

Case Studies

Learn how to finetuning & deployment works, how to enhance a model's capabilities and much more with our case studies.

Explore Case Studies

Aug 17, 2024 • 3 min read

Fine-tuning LLama 3.1 8B and Outperforming the Competition

Using MonsterAPI's no-code LLM fine-tuner, MonsterTuner, we fine-tuned the Llama 3.1 base model and outperformed larger models.

Jul 26, 2024 • 5 min read

Enhancing Language Model Fine-tuning with LLM Data Augmentation

Jun 30, 2024 • 4 min read

How to Fine-tune a Large Language Model

A comprehensive guide with fundamental concepts on how to fine-tune a large language model in 2024.

Apr 6, 2024 • 5 min read

Step-by-Step Guide to Finetuning SDXL

Fine-tuning is the process of enhancing a pre-trained model by training it with additional data, making it better suited for specific tasks. For example, it allows image models like SDXL to create more accurate pictures of certain people, objects, or styles.

Ready to Deploy

Host your LLMs as a scalable API endpoint and add them in your project easily with our Python and NPM SDKs.

Explore our developer docs to get started:

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