shipwithmuse

№ 0448Reddit post

Muse Glimmer as a resident local agent model

Swapped gpt-oss:20b for Muse Glimmer as his resident agentic model next to Qwen3.8 27B for coding, citing its low memory footprint at 128K context and good instruction following.

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Muse Glimmer as a resident local agent model on reddit.com
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My new "resident" models Qwen3.8:27b and Muse-Glimmer

I've had Qwen3.6:27b (and Qwen 3 coder next before it) running along side gpt-oss:20b for a while now as my two main models (qwen for coding, gpt-oss for agentic stuff). Qwen is pretty self-explanatory, while I had been using gpt-oss because of how good it was at producing json and instruction following, despite the size and age. https://preview.redd.it/lr61tb02lejh1.png?width=1920&format=png&auto=webp&s=cef1f0bbfb43c8462162ec675d52c5896d174118 The "upgrade" to 3.8 is pretty evident, especially because of the SWE bench score improvement, but I was more reticent with Muse-Glimmer as I had some trouble when I tried Gemma4, which was far too opinionated when given a task, but Muse-Glimmer seems great - low memory footprint at 128K context, fairly fast and seems to follow instructions well. What models are you using locally and for what? did you have a similar experience with these latest models?

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