Ollama Windows: How to Install and Integrate with Python for Beginners

👋 Hi everyone! In today's video, I'm thrilled to walk you through the exciting journey of installing and using Ollama on a Windows machine. Whether you're a Python pro or just diving into the world of AI, this guide is tailored just for you. From downloading Ollama to integrating it into your Python applications, I cover all the steps to get you up and running with this powerful AI tool. Don't forget to subscribe and hit the bell icon for more AI-focused content. Drop a like to support and share with others who might find this useful. Let's dive in! 🚀

🔗 Steps Covered:
Downloading Ollama for Windows
Easy installation process
Viewing logs for debugging
Running and testing models
Python application integration
Exiting and exporting keys
Performance comparison and hardware specs

📌 Remember, I'm using an Nvidia T4 graphic card for reference. Curious about how your setup compares? Check out the performance on different machines and see how Ollama runs on each.

Stay tuned for more videos like this. Your support through likes, shares, and subscriptions is greatly appreciated. Thanks for watching! 🙏

🔗 Resources & Links:

Tags:
#Ollama #Install #Windows #WindowsInstallation #RunOllamaLocally #HowToInstallOllama #OllamaOnMacOS #OllamaWeb #InstallingOllama #LocalLLM #Llama2 #Mistral7B #InstallLLMLocally #OpenSource #LLMs #OpenSourceLargeLanguageModel #OpenSourceLLM #CustomModel #LocalAgents #OpenSourceAI #LLMLocal #LocalAI #Llama2Local #LLMsLocally #Llama2Locally #OpenSource #OllamaWindows #OllamaInstallOnWindows #OllamaForWindows #OllamaWindowsInstallation #HowToInstallOllamaOnWindows #Windows Olama #OlamaWindows

Timestamps:
0:00 Introduction to Ollama on Windows
0:22 Downloading Ollama
0:51 Installation Process
1:19 Viewing Logs and Debugging
1:42 Running and Testing Models
2:03 Integrating Ollama with Python
2:21 Exiting and Exporting Keys
2:33 Performance Comparison and Specs

[randyh]

Wasn't sure this would work and didn't want to mess up my system, so spun up a windows sandbox, installed ollama for windows, installed python, pip installed openai, modified my paths to find stuff, tried your code with phi (1.6GB) took a while, but it works as good as phi can answer the question! Cool! Thanks!

[jim]

I tried it and it worked as you said. Great videos! Very helpful!

[greatsarmad]

Finally they added it and thanks for showing it
!

[renierdelacruz]

Great video, and great news to know that ´s available for Windows too.
Thanks a lot for the video.

[markuskoarmani]

I found anomaly between windows version and WSL linux version huge difference in GPU utilization
NVIDIA 3080ti
128GB RAM

Running WLS/Ubuntu 16fp mixtral model (or any other model in 16fp) my TPS is on linux is .35 but on windows is 1.64 avg
GPU wont kick in on linux with 31b, 70b or 16fp models but on windows version does utilize my GPU right away. Any thoughts?

Please note MY GPU does kick in on Linux with 7B models with 4q

[sun-cfsc]

After I installed and deployed Ollama locally, I found that it was using the CPU to compute, which was too slow. How can I set the computation to use the GPU?

[cihangirkoroglu]

can you make a tutorial about a teachable ai assistant that works on windows and uses this Ollama. I gave a"chat history[ ]" to content and thus it can remember, I know its not efficient . I know I should use a database like chromadb. and I know there is a thing called autogen teachable... but it would be perfect if you can gather this in a video.. thank you for all of your effords. you are awsome

[svb]

Great video! will this also work on by replacing localhost with the IP address so another machine can access the remotely hosted LLM?

[mrschmiklz]

When you get merch, even from a print on demand, PLEASE make a shirt that says "this is amazing" with your face. cartoon face maybe. it's your trademark as far as I am concerned and it makes me feel warm every time I start one of your videos.

[mdbikasuzzaman]

please explain about the base URL. How can i use it?

[luqaszoq]

How to install the Ollama in another partition? Default is C but I want other.
Edit. I found solution. ollama_models variable should be set for this in the system

[snuwan]

Still it is very slow. Slower than running it on wsl2 on windows. Hopefully they will fix these performance issues in this preview version.

[juanpablobr]

your code absolutely makes no sense, you are calling MISTRAL LLM no LLAMA3

[alecd]

at 2:13 I see you /exit the terminal. I am wondering at the time, if the ollama server is still running after you '/exit' terminal.
If yes, how run 'python app.py' to get results from the model? Thanks