Master Ollama's File Layout in Minutes!

Hey there, AI enthusiasts! 👋 Ready to unlock the secrets of Ollama's file structure? This video is your ultimate guide to understanding why Ollama's approach is so revolutionary in the world of AI models!

🔍 In this episode of the Ollama Course, we'll explore:
- The unique benefits of Ollama's file structure
- Where to find Ollama files on different operating systems
- The magic behind the manifests folder
- How layers work in Ollama models
- Why this structure is a game-changer for model management

🎓 Whether you're new to Ollama or a seasoned pro, you'll gain valuable insights into this elegant and efficient system. Learn how Ollama saves you time and storage space with its smart file management!

🔑 Key topics covered:
- Model storage locations
- Manifest file structure
- Blob management
- SHA256 hashes and their importance
- Creating and pushing custom models

💡 Bonus: Discover how to safely work with model files and avoid common pitfalls!

👨‍🏫 As a founding member of the Ollama team, I'm excited to share my expertise with you. Don't forget to like, subscribe, and hit that notification bell to stay updated on all things Ollama and AI!

🔗 Useful links:

#OllamaCourse #AIModels #MachineLearning #TechTutorial #Ollama #ArtificialIntelligence #DataScience #TechEducation

My Links 🔗

[tomwawer]

Matt thanks for great ple content. I have a 2016 i7 32Gb ram and 6GB 1070Ti laptop I can run 13b and 27b models easily. It’s great platform! Please do crash course on templates

[william-]

Great content Matt. Keep up the good work!

[tibssy]

I have just an old quadro m4000 but ollama works fine. I'm so happy with it.

[ErroneousTheory]

Your videos are a gem. Thank you. Just a suggestion for a topic: Resource management. I don't understand how, in a multi-tier system with dedicated servers, there is such a difference in memory allocated for ollama when operating from curl, open webui, or membpt/letta. How can I tune what the client reserves on the ollama server?

[Igbon]

It is all interesting even though I struggle to understand some things. I hope your channel does well going forward.

[КравчукІгор-тэ]

Thank you so much Matt! As always everything is relevant, clear and interesting! I have several questions for you:
1. How do I know what information the model was trained on? What skills does it contain? I have a weak computer, so I use small models. If I know what information was put into the model, I will understand if I should use it for my purposes.
2. Is there any way to remove unnecessary information from the model, so that I can train this model on my own. I am grateful to you in advance for your professional answers. From the bottom of my heart I wish you the soonest 1 000 000 subscribers, success and prosperity, you are the best !!!

[saoter]

Hi, thanks for all the great videos! I have an unusual issue and hope you can help. I use Ollama for both daily tasks and larger projects. For the bigger models, I’ve moved the files to an external drive due to their size and set the environment path (on Windows), which works well.

However, for my daily tasks, it’s inconvenient to always have the external drive connected, especially for using basic models like LLaMA 3.2. Is there a way to set up two model locations so it can read from both when available, or default to the laptop when the external drive isn’t connected?

Thanks in advance! 🥛

[sagaljyotsingh]

Hello Matt, how can I run llama3.2-vision using ollama on postman? I want to send an image as input.

[emaayan]

thanks, matt this seems strangely related to my questions i was asking on discord of what is called "a model" vs what is the GGUF file, because it can somewhat confusing to see the catalog on ollama of models, and see a catalog of models on hugging face, i'm trying sort grasp the notion of a model which makes it look like it's code, even though it's not, and how it's related to model template which is not the same as the system prompt.
i understand that model template is somehow used for the creation of a model, but it's the language itself standard, that all tools besides ollama could understand?

[anthony-fi]

😊 hi Matt hope you find time to do a chat stream at some point.

[fabriai]

Thanks a lot for the course, Matt. I have a 2020 iMac with an AMD Radeon which doesn’t work with cuda. In your experience, is there a way to use an external graphics card that works with Ollama?

[autoboto]

I wish there is a model move command. The internal model folder can use up my ssd free space. Some of my models are huge and don't want to re-download again. Be nice to do a model move command to offload models I'm not using for now onto external ssd. But convenient to copy back to the internal ssd model folder when needed again. Made a py script that just moves the "big" files. But its not 100% reliable and few times I was forced to re-download the model to get it working again. An official ollama model mover tool would be most useful. keeps all the dependency files organized and working for the target model when moving between volumes ssd model folders.

[JNET_Reloaded]

a better lesson is swap file! the bigger your swap file the bigger the models one can load even on a lil rpi 5 i can run massive models any yer its slower but free :D
this is for linux maybe mac aswell i dont have crapple stuff!

function swap() {
# Set the default size to 20 GB
local default_swap_size=20

# Check if an argument is supplied
if [ -z "$1" ]; then
read -p "Enter Swap Size (GB) [default: $default_swap_size]: " sizeofswap
# If no input is provided, use the default size

echo "Setting New Swap Size To $sizeofswap GB"
else
echo "Setting New Swap Size To $1 GB"
sizeofswap=$1
fi

sudo swapoff /swapfile
sudo rm /swapfile
sudo fallocate -l "${sizeofswap}G" /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
echo "New Swap Size Of $sizeofswap GB"
free -h
}

[kepenge]

Why the need to every single video, emphasise that part of Ollama founding team?