Step‑by‑Step Guide to Install Ollama and ShellGPT for Local LLM Use

This tutorial walks you through installing Ollama on Windows, configuring and running a local large language model, then setting up ShellGPT on Linux to communicate with Ollama, including configuration files, command examples, and REPL usage, while omitting unrelated promotional content.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Step‑by‑Step Guide to Install Ollama and ShellGPT for Local LLM Use

Install Ollama (Windows)

Step 1: Download Ollama

Visit https://ollama.com/download to download the Windows installer.

Step 2: Search on Ollama website

Open the Ollama homepage to locate the desired model.

Step 3: Deploy in terminal

Install the model that matches your computer configuration.

ollama run gemma2:2b

Install ShellGPT on Linux

Step 1: Install ShellGPT

ShellGPT uses LiteLLM to communicate with the local Ollama backend. Install it with:

pip install shell-gpt --break-system-packages

Step 2: Edit .sgptrc configuration

Edit ~/.config/shell_gpt/.sgptrc and add options such as:

DEFAULT_MODEL=ollama/gemma2:9b
OPENAI_USE_FUNCTIONS=false
SHOW_FUNCTIONS_OUTPUT=false
API_BASE_URL=http://192.168.79.249:11434
# other settings omitted for brevity

Initialize ShellGPT

Provide any string for the initial API key, then run:

sgpt

ShellGPT functional tests

Example of asking “Who are you?”: sgpt "你是谁" ShellGPT replies as an AI assistant for programming and system management.

Example of generating a shell command: sgpt -s "查看当前目录" ShellGPT suggests using pwd and explains the reasoning.

Generate code example:

sgpt -c "写一个shell脚本,要求获取cpu核数线程,内存大小,磁盘大小,网络带宽"

List chats, show chat info, start REPL:

sgpt --list-chats
sgpt --show-chat <chat_path>
sgpt --repl temp
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WindowsAI AssistantOllamaLocal-LLMShellGPT
MaGe Linux Operations
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MaGe Linux Operations

Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.

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