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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.

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

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.

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.

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.

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