Akshay-Dongare/Ollama-Local-LLM

Getting started with Ollama and self hosting Large Language Models for local AI solutions

Ollama-Local-LLM

Getting started with Ollama and self hosting Large Language Models for local AI solutions

Setup Steps

Create new Conda environment

• conda create -n llm python

Activate Conda environment

• conda activate llm

Install All Requirements

• In terminal, pip install -r requirements.txt
• requirements.txt contains ollama python library, llama-index ollama library, jupyter notebook and llama-index
• If you get Microsoft Visual C++ 14.0 or greater is required error , try the solution provided here: https://github.com/Akshay-Dongare/Error-Cpp-Build-Tools and run above command again

Ollama Website

• https://ollama.com/

Download the Installer on Windows

• https://ollama.com/blog/windows-preview

Run Ollama Installer

• Double-click the installer, OllamaSetup.exe
• Once installed, go to command prompt and pull any LLM of your choice: ollama pull llama2 (Size: 3.8GB)
• Once LLM is downloaded it will automatically be served on 'http://localhost:11434' (Ollama’s API automatically runs in the background, serving on http://localhost:11434. Tools and applications can connect to it without any additional setup.)
• To serve LLM manually, type in terminal: ollama serve

Choice of model:

• Ollama supports numerous models from https://ollama.com/library
• To view downloaded or manually created models, in terminal: ollama list
• To remove a model: ollama rm llama2

Running from Terminal

• To chat with LLM from terminal, open command prompt and type: ollama run llama2
• Use Ctrl + d or /bye to exit

Display the model file of any model

• ollama show {model_name} --modelfile
• Example: ollama show llama2 --modelfile

Create custom model by changing model file

• To create a custom modelfile, follow the format in the model's original model file and change the instructions (system prompt)
• Now, ollama create {custom_model_name} --file {path_to_modelfile}
• Check custom model by, ollama list in terminal

Usage with Ollama Python Library (https://github.com/ollama/ollama-python)

• Activate Conda environment with conda activate llm
• Check out the starter code in this repo at: ./ollama-python.ipynb

Usage with llamaindex (https://www.llamaindex.ai/)

• Activate Conda environment with conda activate llm
• Check out the starter code in this repo at: ./ollama-llamaindex.ipynb