Just curious, what does "some automation" entail? I thought LLMs could only work with text, like summarize documents and that sort of thing.
this post was submitted on 11 Apr 2026
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These days they can also chain together tools, keep a working memory etc. Look at Claude Code if you're curious. It's come very far very quickly in the last 12 months.
I'm running gemma4 26b MOE for most of my agent calls. I use glm5:cloud for my development agent because 26b struggles when the context windows gets too big.
I suggest looking at llm arena leaderboards filtered by open weight models. It offers benchmarks at a very complete and statistically detailed level for models, and usually is quite up to date when new models come out. The new Gemma that just came out might be the best for 1x GPU, and if you have a bunch of vram check out the larger Chinese models
I find Qwen3.5 is the best at toolcalling and agent use, otherwise Gemma4 is a very solid all-rounder and it should be the first you try. Tbh gpt-oss is still good to this day, are you running into any problems w it?
No problems per se. I just thought that I had not checked for an update for a longer time.
I'd say Qwen 3.5 and Gemma 4 beat GPT OSS in every aspect.
I'm not on there, but you might have more luck in !localllama@sh.itjust.works
You might also want to list the hardware that you plan to use, since that'll constrain what you can reasonably run.
The latest open weights model from google might be a good fit for you. The 26B model works pretty well on my machine, though the performance isn't great (6 tokens per second, CPU only).
What are your computer specs?
I did just update my post with the specs. Maybe it takes a while to federate?
I must have not refreshed ignore my comment
I'm in the same boat. You'll get better responses if you post your machine specs. I
How much VRAM?