https://www.fabswill.com/tags/qwen/ Recent content in Qwen on Fabian G. Williams Hugo -- gohugo.io en Thu, 20 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/doug-was-right-i-measured-the-moe/ Thu, 20 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/doug-was-right-i-measured-the-moe/ Two days ago I posted 36 barrier-synchronized loads against 1 local model and let the numbers answer a question Reddit handed me. That post ended with a promise. A reader named Doug Ware, who builds applied AI systems for a living, had replied with the one caveat I had not tested, and I said out loud that measuring it was the next thing I would do. This is that measurement. https://www.fabswill.com/blog/you-asked-i-measured-the-concurrency-ceiling/ Tue, 18 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/you-asked-i-measured-the-concurrency-ceiling/ Over last week and these last 2 days in this week I posted measured answers to readers both in Twitter and Reddit who asked whether my experiments of 2 local agents on 1 Mac run in parallel or take turns. The answers was that they share one continuous batch, batching is real, and 3 quiet choices collapse it. I thought that was the end of it. It was not. The comments were better than my post, WHICH IS AWESOME, becaue this is the crowdsourcing of brain power I love. https://www.fabswill.com/blog/i-added-a-second-local-agent-and-kept-the-receipt/ Mon, 17 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/i-added-a-second-local-agent-and-kept-the-receipt/ This week I trialed a second local coding agent, Hermes from Nous Research, on my own MacBook Pro M3 Max, pointed at the same local Qwen 3.8 model I already run. I installed it additively, so nothing already working could break, governed it with manual approvals, and did not stop until it proved it behaves. Here is the trial, in tables and screenshots. One housekeeping note before the story. Last week’s post got called AI slop on Reddit. https://www.fabswill.com/blog/two-agents-one-local-model-batching/ Mon, 17 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/two-agents-one-local-model-batching/ A reader on Reddit asked me a sharp question about my last post. I had trialed a second local coding agent, Hermes, pointed at the same local Qwen 3.8 model my other agent already uses. His question was simple. Did I ever run both agents at the same time, two separate harnesses hammering one model on one Mac at once. And what about Hermes spawning its own sub-agents against that same endpoint. https://www.fabswill.com/blog/local-model-upgrade-qwen-38-agent-self-tested/ Sat, 15 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/local-model-upgrade-qwen-38-agent-self-tested/ TL;DR Local models are how I run my community work, my volunteer projects, my side hustles, and my musings. Two reasons, both simple: Cost. None of this work should bill against a frontier account. Trust. Client and customer data stays on my own disk, away from the labs. Bottom line up front: I am running Qwen3.8-27B (4-bit) on my MacBook Pro M3 Max, 128 GB of unified memory and a 40-core GPU, my personal dev rig, driven by an OpenCode harness. https://www.fabswill.com/blog/replacing-gpt-oss-with-qwen3-6-on-macbook-pro/ Sat, 02 May 2026 00:00:00 +0000 https://www.fabswill.com/blog/replacing-gpt-oss-with-qwen3-6-on-macbook-pro/ TL;DR I spent two days benchmarking three Qwen3.6 variants against gpt-oss:120b on my MacBook Pro M3 Max. The shocking result: a 21 GB coding-tuned model ran an OpenClaw-shaped research-brief workload that I use for the non profit MACONA.org in 6 seconds — 10x faster than gpt-oss:120b on the same prompt. Fast enough that I now have reasonable confidence I could move this kind of work off the SaaS-hosted frontier models I have been paying for and onto local hardware on my dev machine.