Looking for a small LLM for Linux command generation
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A developer is seeking a small Large Language Model (LLM) to function as a Linux command assistant, specifically for generating shell commands from natural language queries. The ideal model should be fast, around 4B parameters at most, and capable of running efficiently on a CPU using llama.cpp. It needs to directly output commands without forced reasoning, as seen in models like LFM 2.6, for tasks such as replacing strings in files or managing Docker containers.
I'm looking for a small LLM to act as a Linux command assistant. I will use llama.cpp.
use case:
- User asks in natural language. Model outputs only the shell command
- Should work well with no reasoning (for example, LFM 2.6 has forced reasoning)
- Fast, like ~4B at most, cause it's going to be on CPU
Example 1: "replace string X with Y in file Z"
Example 2:
"stop and remove docker containers with X in the name"