https://github.com/blacktechx011/ollama-in-github-codespaces
Learn all how to run Ollama in GitHub Codespaces for free
https://github.com/blacktechx011/ollama-in-github-codespaces
ai artificial-intelligence blacktechx blacktechx011 cli cloud codespaces github-codespaces large-language-models linux llm ollama ollama-api ollama-app sandbox
Last synced: 6 months ago
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Learn all how to run Ollama in GitHub Codespaces for free
- Host: GitHub
- URL: https://github.com/blacktechx011/ollama-in-github-codespaces
- Owner: BlackTechX011
- Created: 2024-05-23T06:03:52.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-31T09:33:46.000Z (over 1 year ago)
- Last Synced: 2025-04-16T02:09:48.250Z (6 months ago)
- Topics: ai, artificial-intelligence, blacktechx, blacktechx011, cli, cloud, codespaces, github-codespaces, large-language-models, linux, llm, ollama, ollama-api, ollama-app, sandbox
- Language: Jupyter Notebook
- Homepage:
- Size: 7.81 KB
- Stars: 29
- Watchers: 1
- Forks: 14
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Running Ollama in GitHub Codespaces
Learn how to efficiently run Ollama in GitHub Codespaces for free.
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# :notebook_with_decorative_cover: Table of Contents
- [What is a Codespace?](#star2-what-is-a-codespace)
- [What is Ollama?](#star2-what-is-ollama)
- [Setting Up Ollama in GitHub Codespaces](#wrench-setting-up-ollama-in-github-codespaces)
- [Ollama Model Library](#books-ollama-model-library)
## :star2: What is a Codespace?
A codespace is a cloud-hosted development environment tailored for coding. GitHub Codespaces allows you to customize your project by committing configuration files to your repository, creating a consistent and repeatable environment for all users. For more details, refer to the [Introduction to dev containers](https://docs.github.com/en/codespaces/setting-up-your-project-for-codespaces/adding-a-dev-container-configuration/introduction-to-dev-containers).
## :star2: What is Ollama?
Ollama is an open-source project designed to simplify running Large Language Models (LLMs) on local machines. It provides a user-friendly interface and functionality to make advanced AI accessible and customizable.
## :wrench: Setting Up Ollama in GitHub Codespaces
Follow these steps to set up and run Ollama in a GitHub Codespace:
### 1. Open a Codespace
- Navigate to your repository on GitHub.
- Click on the `Code` button and select `Open with Codespaces`.
- If you don't have an existing codespace, create a new one.
### 2. Install Ollama
- Open the terminal in your codespace.
- Run the following command to download and install Ollama:
```sh
curl -fsSL https://ollama.com/install.sh | sh
```
### 3. Verify the Installation
- Type `ollama` in the terminal to verify the installation:
```sh
ollama
```
- If the installation is successful, you will see a list of available Ollama commands.
### 4. Start Ollama
- Run the following command to start Ollama:
```sh
ollama serve
```
### 5. Run and Chat with Llama 3
- To run and interact with the Llama 3 model, use the following command:
```sh
ollama run llama3
```
## :books: Ollama Model Library
Ollama provides a variety of models that you can download and use. Visit the [Ollama model library](https://ollama.com/library) for a complete list.
### Example Models
Here are some example models available for use:
| Model | Parameters | Size | Command |
| ------------------ | ---------- | ----- | ----------------------------- |
| Llama 3 | 8B | 4.7GB | `ollama run llama3` |
| Llama 3 | 70B | 40GB | `ollama run llama3:70b` |
| Phi 3 Mini | 3.8B | 2.3GB | `ollama run phi3` |
| Phi 3 Medium | 14B | 7.9GB | `ollama run phi3:medium` |
| Gemma | 2B | 1.4GB | `ollama run gemma:2b` |
| Gemma | 7B | 4.8GB | `ollama run gemma:7b` |
| Mistral | 7B | 4.1GB | `ollama run mistral` |
| Moondream 2 | 1.4B | 829MB | `ollama run moondream` |
| Neural Chat | 7B | 4.1GB | `ollama run neural-chat` |
| Starling | 7B | 4.1GB | `ollama run starling-lm` |
| Code Llama | 7B | 3.8GB | `ollama run codellama` |
| Llama 2 Uncensored | 7B | 3.8GB | `ollama run llama2-uncensored`|
| LLaVA | 7B | 4.5GB | `ollama run llava` |
| Solar | 10.7B | 6.1GB | `ollama run solar` |
>**Important:**
> Ensure that your system meets the following RAM requirements:
> - At least 8 GB of RAM for 7B models
> - At least 16 GB of RAM for 13B models
> - At least 32 GB of RAM for 33B models
By following these steps, you can set up and run Ollama efficiently within GitHub Codespaces, leveraging its cloud-based environment to explore and utilize powerful LLMs.