Merge LLMs using Mergekit: Create your own Medical Mixture of Experts
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- Опубликовано: 11 сен 2024
- In this tutorial video titled "Merge LLMs using Mergekit: Create your own Medical Mixture of Experts," I'll guide you through the cutting-edge technique of model merging using the mergekit library. This method allows for the combination of multiple Large Language Models (LLMs) into a single, more powerful model without the need for expensive GPU resources.
First, I'll walk you through installing mergekit and setting up your environment to ensure you're ready to start merging models right away. You'll learn how to use the mergekit-yaml script to define your merge operations through a YAML configuration file.
We'll delve into practical examples to demonstrate how you can utilize mergekit to assemble a bespoke model. Whether you're aiming for a simple linear merge of multiple models or a more complex recombination of model layers, I'll provide step-by-step instructions to achieve your objectives.
By the end of this tutorial, you'll be equipped with the knowledge to create your own Medical Mixture of Experts using mergekit. This innovative approach not only broadens the scope of possible applications for LLMs in medical and healthcare domains but also positions you at the forefront of AI model development.
Remember, merging models is a powerful tool, and with great power comes great responsibility. Always ensure the ethical use of merged models, especially in sensitive fields like healthcare.
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Every video brings a fresh hairstyle, just like the knowledge you share! 😄 Thanks for keeping us informed
Haha... Thank you sir 🙏
wow what a fantastic repository you have there my man, well done and thanks for the sharing and videos. I will build some of these to help learn. thanks
Have fun!
Nice work.Can you make a video on how multimodal works internally
Bro, in your repo , HF credentials were present. I hope you've disabled your old credentials.
Great work. Very helpful.
glad to see you sharing your knowledge
Great video.... although I'm curious, why did you clone the mixtral branch instead of the main branch?
Great! Please do a video on the collection of custom dataset and fine tuning multi-modal models
Thanks for the idea!
Great content. Thank you so much for the videos
Glad you like them!
Hi,
If I merge three models of 7b parameters, what will be the parameter size of final merged model?
Please a tutorial on Llava vision model with cv2 to get info about live camera objects and use Llava via replicate API
Please
Can we use mergekit for models which are not in huggingface repo?
the prompts used , could they¥be the same type of prompts that you use for agents ? ie: listing skills and expectations.. ie step by step thinking, ie add multiple prompts ?
I was just thinking about this the other day.
Like, if a bunch of robots are trained to work on cars in different mechanic shops (using human feedback), and then having all of the individual NN merged together from all the robots.
Cool 💡
The Routing llm handles the mix of llms in mistral x8 7B
can i run this script in normal google colab (without pro)?
how do you then quantize the file in GUFF?
ok i completed making a model LeroyDyer/Mistral_WhiteHatCoder_Base_Instruct_Moe_3x7b ? i could not get it to load ? In colab after using your full script ? Help if you can with a load model script ?
Thanks for this video.... Can I merge encoder only models?
I like your new hairstyle ! :) :)
Haha... I liked it too
The merged model is only generating grabage 😁😁