this post was submitted on 07 Jun 2026
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Programming
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I use opencode with locally-hosted llama.cpp - usually with qwen3.6-35b-a3b.
I tried opencode go for a couple month, and its definitely nice to have an lln runner with more gram and more GPUs, but I prefer to have all my stuff local whenever it's possible. Also, I'd use up my token allotments fairly quickly on opencode go.
I also tried opentouter and it, too, was great - many more models. But I exhausted by credits even quicker than opencode go, and its also not local.
What hardware do you use? How fast is it?
AMD Ryzen 9 9950X CPU and AMD radeon pro w7900 (48GB vram). I get 55tps output pretty consistently, but ingesting context starts around 1500tps and if context size reaches, say, 50K, tps drops to around 200tps. I often have to wait a bit, but it's a price I'm happy to pay for local-only AI
Thank you!