Mistrals main strength is that it is a good allrounder model with a 7B size, so it runs on a lot of consumer hardware. If you are looking for specific tasks to

Mistrals main strength is that it is a good allrounder model with a 7B size, so it runs on a lot of consumer hardware. If you are looking for specific tasks to run locally (with decent RAM and no GPU), the realistic best option in most categories is a fine-tuned 13B model. In my experience most open source models do quite well with Python and Javascript, but don't perform so well when it comes to other languages and the usage of their special characteristics (e.g. it will still be able to write simple control flow in Rust, but probably not use async/await correctly). I've tried using LLMs in general with IaC (K8s resources/Helm charts), and they all did well when asking it a very specific thing about it (e.g. "Is there an alternative way to accomplish X?"), but also never had it perform well when outputting YAML directly (either from scratch of modifying it).