quovadis
Honorary Master
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Hence the for what it’s worth. Still interesting somewhat.Not really.
I would strongly suggest startng with something non critical or a copy of, especially if you are switching model families. I had some strange behavior a while back when I played with it. Also some wierd things between codex and ollama when talking to non openai models ( it used some form of bridge ). Linux based system though which seems to be tail end of openai dev tool support.I'm going to be spending a little time this weekend with codex using local LLMs with Ollama - anyone have any comment/strong views on the following models?
devstral-small-2:24b
qwen3-coder:30b
qwen3.6:27b
gemma4:31b
qwen3-vl:30b
Sure, I wasn't planning to use it for any actual work. More evaluation of new from scratch, perhaps some tests modifying a static code base I already used when evaluating vanilla codex. This will be on a Mac Studio.I would strongly suggest startng with something non critical or a copy of, especially if you are switching model families. I had some strange behavior a while back when I played with it. Also some wierd things between codex and ollama when talking to non openai models ( it used some form of bridge ). Linux based system though which seems to be tail end of openai dev tool support.
You can also test ollama cloud llms. One of my experiments is a little agent bot that I have written in Python using tiny llm and discord as a comm medium but it switches between a ollama cloud free high model to local depending on need as I'm running it on a respective potato.Sure, I wasn't planning to use it for any actual work. More evaluation of new from scratch, perhaps some tests modifying a static code base I already used when evaluating vanilla codex. This will be on a Mac Studio.
That guy annoys me, they basically silently release things that eat your usage even more then act asif they're doing you a favou.
They all suck.I'm going to be spending a little time this weekend with codex using local LLMs with Ollama - anyone have any comment/strong views on the following models?
devstral-small-2:24b
qwen3-coder:30b
qwen3.6:27b
gemma4:31b
qwen3-vl:30b