/notebooks

Primary LanguageJupyter Notebook

ConsoleDocsTemplatesDiscord

Brev.dev Notebooks

This repo contains helpful AI/ML notebook templates. Each notebook has been coupled with the minimum GPU specs required to use them + setup scripts making a Brev template. Click the deploy badge on any notebook to deploy it.

Notebooks

Notebook Description Min. GPU Deploy
AUTOMATIC1111 Stable Diffusion WebUI Run Stable Diffusion WebUI, AUTOMATIC1111 1x A10G Colab
ControlNet on AUTOMATIC1111 Run ControlNet Models on Stable Diffusion WebUI 1x A10G Colab
Deploy to Replicate Deploy Model to Replicate any || CPU Colab
Run Llama 2 70B Run Llama 2 70B, or any Llama 2 Model 4x T4 Colab
Fine-tune Llama 2 A Guide to Fine-tuning Llama 2 1x A10G Colab
Fine-tune Llama 2 - Own Data Fine-tune Llama 2 on your own dataset 1x A10G Colab
Fine-tune Mistral A Guide to Fine-tuning Mistral 1x A10G Colab
Fine-tune Mistral - Own Data Fine-tune Mistral on your own dataset 1x A10G Colab
Fine-tune Mixtral (8x7B MoE) A Guide to Fine-tuning Mixtral, Mistral's 8x7B MoE 4x T4 Colab
Fine-tune Mixtral (8x7B MoE) - Own Data A Guide to Fine-tuning Mixtral on your own dataset 4x T4 Colab
GGUF Export FT Model Export your fine-tuned model to GGUF 1x A10G Colab
Julia Install Easily Install Julia + Notebooks any || CPU Colab
Oobabooga LLM WebUI Run Oobabooga, the LLM WebUI (like AUTOMATIC1111) 1x A10G Colab
PDF Chatbot (OCR) PDF Chatbot using OCR 1x A10G Colab
Zephyr Chatbot Chatbot with Open Source Models 1x A10G Colab

What is Brev.dev?

Brev is a dev tool that makes it really easy to code on a GPU in the cloud. Brev does 3 things: provision, configure, and connect.

Provision:

Brev provisions a GPU for you. You don't have to worry about setting up a cloud account. We have solid GPU supply, but if you do have AWS or GCP, you can link them.

Configure:

Brev configures your GPU with the right drivers and libraries. Use our open source tool Verb to point and click the right python and CUDA versions.

Connect:

Brev.dev CLI automatically edits your ssh config so you can ssh gpu-name or run brev open gpu-name to open VS Code to the remote machine