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NVIDIA Developer Program: developer.nvidia.com/nim Get Access To The NIM: build.nvidia.com/meta/llama-3_1-8b-instruct Follow Along: brev.dev/llama3-1-nim In this tutorial, we walk through getting access to the NVIDIA Developer program to gain access to the cutting edge Llama3.1 8B Instruct Model NIM. We fine-tune Llama 3.1 using a PEFT technique called LoRA using the NVIDIA Nemo Framework. And ...

Follow Along: console.brev.dev/launchable/deploy/now?userID=p2mzt91a8&orgID=ejmrvoj8m&name=Finetune Llama3 and Convert to Ollama Modelfile&instance=A10G@g5.2xlarge&diskStorage=500&cloudID=devplane-brev-1&python=3.10&cuda=12.0.1&file=https://github.com/brevdev/notebooks/blob/main/llama3-to-ollama.ipynb&launchableID=env-2iBAoNimbkT4imNoAQXyIOXwrXd Join Our Discord: discord.com/invite/NVDyv7TUgJ R...

Follow Along: console.brev.dev/launchable/deploy/now?userID=xswf1irzo&orgID=ejmrvoj8m&name=comfyUI-tensorRT-carter&instance=RTX A6000@NVIDIA-RTX A6000-48Gi-PCIe-1x&diskStorage=500&cloudID=akash-brev-wg&baseImage=nvcr.io/nvidia/tensorrt:24.05-py3&ports=comfyui:8188&file=https://github.com/brevdev/notebooks/blob/main/tensorrt-comfyui.ipynb&launchableID=env-2hU1R3hVyeFKQVnrmS8KPUiAUe2 Join Our Dis...

Follow Along: console.brev.dev/launchable/deploy/now?userID=p2mzt91a8&orgID=jnj0c501d&name=Fine-tune Llama3 using Direct Preference Optimization&instance=A100@a100.1x&cloudID=crusoe-brev-wg&python=3.10&cuda=12.0.1&file=https://github.com/brevdev/notebooks/blob/main/llama3dpo.ipynb&launchableID=env-2hRHIhATRIw8sCD6QwT11eYn6Vf Join Our Discord: discord.com/invite/NVDyv7TUgJ Request Access To the ...

Follow Along: console.brev.dev/launchable/deploy/now?userID=p2mzt91a8&orgID=jnj0c501d&launchableID=env-2hpxJ6HArVk5jzOYgJmFDJfvNmH&instance=A10G@g5.12xlarge&diskStorage=300&cloudID=devplane-brev-1&python=3.10&cuda=12.2.2&file=https://github.com/brevdev/notebooks/blob/main/llava-finetune.ipynb&name=Fine-tune and deploy multimodal LLaVA-1.5 Join Our Discord: discord.com/invite/NVDyv7TUgJ In this ...

In this video, we show you how to fine-tune Mixtral, Mistral's 8x7B MoE (Mixture of Experts) model, on your own dataset. You'll be directed to another video where we fine-tune Mistral 7B (standard Mistral) on your own dataset, but you'll be using the notebook here: github.com/brevdev/notebooks/blob/main/mixtral-finetune-own-data.ipynb My explanation on how QLoRA works: brev.dev/blog/how-qlora-w...

Hi there! Harper Carroll from Brev.dev here. In this tutorial, we go through a pre-made Jupyter Notebook to run OCR (Optical Character Recognition) on our uploaded PDFs to extract the text, and then we use Amazon's MistralLite to ask questions about those PDFs. Amazon's MistralLite is its fine-tuned version of Mistral 7B, which allows for context lengths of up to 32K tokens... this means we can...

Hi! Harper Carroll from Brev.dev here. In this video, we walk through how to run the most popular open source Stable Diffusion Web UI, AUTOMATIC1111. No coding of your own needed. Just plug & play. Notebook: github.com/brevdev/notebooks/blob/main/automatic1111-stable-diffusion-ui.ipynb Other AI/ML Notebooks: github.com/brevdev/notebooks Find me on 𝕏: x.com/HarperSCarroll/highlights Join our Dis...

Fine-tune on your own dataset notebook: github.com/brevdev/notebooks/blob/main/llama2-finetune-own-data.ipynb Video: th-cam.com/video/kmkcNVvEz-k/w-d-xo.html Fine-tune on a HuggingFace dataset notebook: github.com/brevdev/notebooks/blob/main/llama2-finetune.ipynb Video: th-cam.com/video/zbKz4g100SQ/w-d-xo.html Other AI/ML Notebooks: github.com/brevdev/notebooks Find me on 𝕏: x.com/HarperSCarrol...

Fine-tune on your own dataset notebook: github.com/brevdev/notebooks/blob/main/phi2-finetune-own-data.ipynb Video: th-cam.com/video/kmkcNVvEz-k/w-d-xo.html Fine-tune on a HuggingFace dataset notebook: github.com/brevdev/notebooks/blob/main/phi2-finetune.ipynb Video: th-cam.com/video/zbKz4g100SQ/w-d-xo.html Other AI/ML Notebooks: github.com/brevdev/notebooks Find me on 𝕏: x.com/HarperSCarroll/hi...

Hi! Harper Carroll from Brev.dev here. In this tutorial video, I walk you through how to fine-tune Mixtral, Mistral’s 8x7B Mixture of Experts (MoE) model, which outperforms Llama 2 70B on most tested benchmarks. Thanks everyone for 1K subscribers! So glad these are helpful. You rock. Notebook: github.com/brevdev/notebooks/blob/main/mixtral-finetune.ipynb My explanation on how QLoRA works: brev....

In this Brev.dev Concepts video, Harper Carroll (Head of AI/ML) covers the basics of reinforcement learning, exploration and exploitation, model-based vs. model-free methods, Q-learning, Q*, and temporal difference learning. It is accessible to those of all backgrounds, and includes a little math for those interested. Find me on 𝕏: HarperSCarroll Join our community on Discord: disco...

Hi! Harper Carroll from Brev.dev here. In this tutorial video, I walk you through how to fine-tune Mistral 7B, which outperforms Llama 2 13B on all tested benchmarks, on your own data.... like how I do with my journal entries from over the years, teen angst and all. Notebook: github.com/brevdev/notebooks/blob/main/mistral-finetune-own-data.ipynb Notebook to fine-tune on a HF dataset: github.com...

Want to create Stable Diffusion images that are as stunning as Midjourney's? Let's use LoRAs (low rank adaptation models) to create stunning Stable Diffusion models in our styles of choice! Link to the template & pre-set GPU: github.com/brevdev/AUTOMATIC1111-civitai-notebook (NVIDIA A10G - $1.21 per hour running; you can select a different machine in "Hardware" if you'd like to downgrade). Link...

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