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LocalLLM

As explained in Domain-Specific Small Language Models

A Flask-based local web frontend for Ollama that provides streaming responses and model switching.

LocalLLM is a minimal Flask web frontend for chatting with models served by Ollama. It makes local model interaction more accessible than a command-line interface while keeping inference on the local machine. section 12.2

LocalLLM provides:

  • A browser chat interface with streaming responses, Markdown, code-block rendering, and raw-text debugging. section 12.2
  • A model selector populated from models available on the local Ollama server. section 12.2
  • A Python installation path using a virtual environment, repository clone, dependency installation, and app startup. section 12.2

How Domain-Specific Small Language Models covers it

How deep it goes
Explains features, prerequisites, installation, startup, and interface layout, but does not detail Flask internals or persistent chat storage.
Examples
Uses a localhost web UI, Ollama model selection, and repository commands to install and start the application.
What it assumes
Assumes a local Ollama instance already serves the language models and basic Python environment management.
What you can do after
Operate/configure a local web chat by installing LocalLLM, connecting it to Ollama, selecting models, and inspecting streamed output.
How it connects
Ties Flask and Ollama to streaming responses, model switching, Markdown rendering, and local language models.
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This explainer was generated by Manning's knowledge graph from the text of Domain-Specific Small Language Models. The section links point to the parts of the book it draws on.