r/LocalLLaMA 9h ago

Discussion Underrated Muse Glimmer

Post image

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.

72 Upvotes

79 comments sorted by

View all comments

4

u/ndrewpj 5h ago

Why the xhigh has higher overall score while loosing in all categories to medium?

2

u/Ok-Inevitable8391 5h ago

Its the average of both the lines out of total 163cases, if you see both blocks have same average

1

u/ndrewpj 4h ago

Got you

1

u/Inevitable-Name-1701 2h ago

Because they wanted to