A utility written in Python 3 for querying and managing keys and values in ~/.config/llm-manager/llm.conf and /etc/llm.conf.

The idea is that if ie. an editor needs to use the best available LLM model for code completion, it can use this utility to get the user-configured models.

$ llm-manager code-completion
deepseek-coder-v2:236b

This way, the user can install and configure the best Ollama model that their laptop and/or Ollama server (defined with OLLAMA_HOST) can support.

Set the default text-generation model to gemma2:2b:

$ llm-manager set text-generation gemma2:2b

Get the current text-generation model

$ llm-manager get text-generation
gamma2:2b

A shortcut:

$ llm-manager text-generation
gemma2:2b

Changing the text-generation model to llama3.2 and the 3b tag:

$ llm-manager set text-generation llama3.2:3b

Get the current text-generation model:

$ llm-manager text-generation
llama3.2:3b

The default values for the current version of llm-manager and /etc/llm.conf are:

The default configuration may change over time as better models become available.

For now, relatively small models are chosen, so that more people can use them, even without a GPU.

Here is the default configuration file, llm.conf:

# For chatting
chat=llama3.2:3b
# For analyzing or generating code
code=deepseek-coder-v2:latest
# For code completion / tab autocompletion
code-completion=deepseek-coder:1.3b
# A small model, for quick tests
test=tinyllama:1b
# Text generation
text-generation=gemma2:2b
# Tool use and function calling
tool-use=llama3.2:3b
# For translating text (not single words, though)
translation=mixtral:8x7b
# Vision and image detection
vision=llava:7b

• The usermodel package, for Go.

• Version: 1.2.1
• License: BSD-3
• Author: Alexander F. Rødseth <xyproto@archlinux.org>