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title, date, slug, tags, draft
title date slug tags draft
quickly accessing llama3.2 from a terminal (or any other model) 2024-10-18 accessing-llm-through-cli
AI
Infrastructure
false

The author describes their workflow for integrating large language models into terminal-based work. Rather than switching to a browser or relying on a Telegram bot, they set up a more seamless solution using a remote GPU instance.

Technical Setup

The solution involves three key components:

  1. Remote Infrastructure: A cloud GPU instance running Ollama, accessible via SSH port forwarding (port 11434)
  2. Web Interface Option: Open WebUI for browser-based access
  3. CLI Tool: The llm package with Ollama plugin support

Installation steps are straightforward:

  • Install the main CLI tool
  • Add Ollama plugin support
  • Set Llama3.2 as the default model

Usage Examples

Simple Query: The tool handles basic prompts directly from the command line with natural conversational responses.

System Prompts: Users can pipe code or text through the tool with custom instructions, such as requesting code explanations.

Chat Mode: Interactive sessions allow extended conversations, though the author finds this less practical than web UI alternatives.

Limitations

The author notes the model includes safety guidelines that prevent certain types of content, and suggests exploring uncensored alternatives for less restricted interactions.