Qodex.ai

Get Started with MonsterAPI

With MonsterAPI you can:

  • Access open-source LLM APIs,
  • Fine-tune Large Language Models (LLMs) within 3 steps
  • One-click Deploy fine-tuned and open-source LLMs

Let’s explore each of these solutions in detail:

Access Generative AI Model APIs:

MonsterAPI offers a variety of state-of-the-art AI models, including:

  • Image Generation: Stable Diffusion XL (SDXL), Pix2Pix, Photo-Maker
  • Speech to Text: Whisper Large-v2 and Large-v3
  • Text to Speech: Suno AI Bark
  • Text Generation: Llama2, Zephyr, Falcon, and more LLMs

We optimize these Generative AI models and host them on our affordable GPU cloud as ready-to-use API endpoints that can be accessed via our cURL, PyPI, and NodeJS clients. This enables developers to easily build AI-powered applications while getting access to AI models at up to 80% lower cost than other alternatives.

MonsterTuner - No-code Large Language Model Finetuning:

MonsterTuner is a no-code large language model (LLM) finetuner that simplifies the complex process of finetuning and customizing AI models on your datasets, reducing the process to 4 simple steps:

  1. Select an LLM: Llama, Mistral, Falcon, GPT2, and many more supported.
  2. Select a Dataset: From Huggingface or use your own custom datasets.
  3. Specify hyperparameters: Epochs, Learning rate, Schedulers
  4. Launch finetuning job

Benefits of No-Code Finetuning with Monster Tuner:

  • Automatic batch size configuration
  • Automatic GPU server configuration with an appropriate computing environment
  • Automatically addresses issues like Out of Memory (OOM)
  • In-built support for avoiding overfitting with parameters like early stopping
  • In-built support for tracking experiments with WandB.

This results in a smooth, standardized, and cost-optimized LLM finetuning process, built for your business use-case requirements. Check out our detailed developer docs on LLM finetuning here.

MonsterDeploy - Deploy Large Language Models (LLMs):

MonsterDeploy is a serving engine designed for seamless deployment of Large language models (LLMs) and docker containers on MonsterAPI's robust and low-cost GPU cloud.

Supported Solutions:

  • Deploy open-source pre-trained and fine-tuned LLMs as a REST API endpoint.
  • Deploy docker containers for application workflows.

MonsterDeploy automatically configures the GPU infrastructure and manages it to ensure smooth access to the hosted models. Once the deployment is live, you can query your hosted LLMs and fetch the generated output.

Key capabilities of MonsterDeploy:

  • Effortless Model Compatibility: Deploy any vLLM compatible model with ease.
  • Flexible Scaling: Scale up to 4 GPUs with adaptable GPU RAM sizes within your budget.
  • One-Click Deployment: Launch LLM deployments smoothly with a single command.
  • Diverse Model Support: Support for various models and LoRa-compatible adapters like Zephyr, LLaMA-2, Mistral, and more.

Whether you are a seasoned developer or a newbie, our documentation will help you get up and running with Monster API in no time.

So, let's get started and explore the exciting world of Generative AI with Monster API:

API Base URL:

https://api.monsterapi.ai

Security Headers:

  • A Bearer token is a token that you provide in the Authorization header when making API requests.
    • Example: Authorization: Bearer 123

Get your Auth token on Monster API Website.

Additional Information:

Reach out to us for any query or view our terms of service here: