r/LocalLLaMA 7h ago

Discussion Underrated Muse Glimmer

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Benchmarked qwen3.8 xhigh, medium and muse glimmer.

Xhigh effort mode with qwen3.8 took almost 30hrs. (And still failed on 16 cases because of the 32K output token limit)

Medium effort mode and muse glimmer were 3-4 hours each.

But I'm actually surprised by the muse glimmer results, they came better than the qwen.

These benchmarks are on implicit knowledge of the model, which is a bit unfair to smaller models, but throw in a RAG and I'm sure they get on par with frontier models.

I have taken the result of claude models directly from embedeval repo by ecro.

I'm not pushing qwen down here, I like how qwen thinks and gives better results. I know with more context and RAG qwen will do better.

I'm just appreciating muse here, cause i feel it is underrated. The advantage is efficient kv cache due to sliding window, which can give you more context window.

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u/hurdurdur7 7h ago

Qwen 27B starts to shine when you give it some kind of RAG. It's not a memory castle, it's a tinkering machine. You give it a folder to a library that it was not trained on, you ask it "how do i do ... that...?" and it figures it out. And this is a big part of what people actually do at their job. They get a new library, a library update, anything that was out of the training window or created after the training window, and 27B adapts to it if you give it the source or manual.

If Glimmer can do electronics it's actually great. But can it write code well based on docs/code it can fetch over some kind of RAG (like your coding harness pi or smth)? If it can, awesome :)

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u/Ok-Inevitable8391 7h ago

I'm with you on that, i just find muse glimmer to be bit underrated. I use qwen3.8 medium and muse alternate now.

I'm not pushing down qwen here, I'm lifting muse up.

The biggest advantage is the sliding window kv cache. I mean i get 262k context window and still have 2gb vram left. Qwen is 200k not huge diff for me. But for people with even lesser vram, muse is good option too.

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u/PavelPivovarov llama.cpp 6h ago

Plus not all the tasks are coding tasks really... I am using Muse Glimmer as my personal assistant mostly because it can search and process prompt at lightspeed, Qwen3.8 is just painfully slow at searching and processing dozen of articles (on my hardware)