shipwithmuse

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24 parallel 128K contexts with Muse Glimmer

Found llama.cpp fits 24 concurrent 128K contexts with Muse Glimmer 30B Q8_0 (plus mmproj and DFlash) on the same hardware where Qwen fits only 3x256K or 6x128K.

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llama.cpp really memory inefficient for qwen context?

I noticed on the same hardware that I can get 24 x 128k contexts with muse glimmer (30b q8_0 + mmproj+dflash) only gets me 3x 256k or 6x 128k with qwen. But a straight forward analysis of the architecture suggests to me that qwen's state per token is somewhat smaller than glimmers. So it seems llama.cpp is particularly memory inefficient for the qwen arch. I presume there is an existing issue for this, but I couldn't find one. What's the deal? The extra concurrency makes a big difference in batched performance.

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