01 / Local intelligence
Turkish language model & Linux monitoring
Jazari is my Turkish model adaptation; ailm puts local AI to use in Linux monitoring.
Published model & open-source tool · Updated · September 2026
What I worked on
Training experiments, evaluation and integration of a local model into a system-monitoring workflow.
The starting point
Training a model is only part of the work. The useful question is where a small, local model can help with a specific recurring task.
How I built it
Adapt Qwen3.5-4B to Turkish with continued pretraining and supervised fine-tuning. The published training run used an RTX 5090 on vast.ai.
Connect the model to ailm, which collects Linux events and uses a local LLM to summarize them and suggest what deserves attention.
Publish the model card with evaluation results and limitations, including areas where performance remains limited.
The result
The model weights and monitoring tool are public. Together they show a path from a training experiment to a concrete local application.
Model-card benchmarks describe specific test sets, not universal accuracy. Suggested causes and actions still need verification. The earlier voice-coach experiment is a separate project.
Code & resources
Qwen / Fine-tuning / Python / Ollama / SQLite / Linux