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DwarfStar with vision support for GLM 5.3 running on a MacBook m5max computer. The vision support is *not* quantized for max precision for now.
22,664 görüntüleme • 1 ay önce •via X (Twitter)
24 Yorum

Amazing! Thanks for this 🙏

Local multimodal is leaving the server room.

How much RAM does that computer provide?

That speed is impressive, but I wonder how long that will last during a session.

Can the Deepseek-V4-Flash model also take advantage of vision support? Or are you doing it in a way that only GLM-5.3 can take advantage of?

I'm hitting like 40tk/s now with some optimizations to the current branch and much less slow down as context grows. Busy tackling prefill optimizations. Thanks for the update gonna add.

Going to run this on Ultra 512GB 💪

Just following up, it works now after I built and deployed from your GLM vision feature branch. Thank you 👨🍳

What harness is this?

This is Flash, full doesn't work?

Non-quantized vision on the M5 Max will likely bottleneck throughput. Have you tested FP8 for the vision encoder? Curious how much precision you'd trade for a speedup there.

Is M5 Max > M4 Max by that much? I get 22 tps on mine.

Unquantized vision on an M5 Max means memory bandwidth is doing all the heavy lifting.

Thats huge. Thanks!

Excited to see you working (and your work) on GLM-5.3-Flash. Curious what your take is on Q2 performance when your opinion is fully formed. Your work is truly an inspiration. Thank you!

Great!

is the caching for images not working yet or intended?

Is this live now in ds4 or a tease for a soon to be shipped PR? 😁

why leave just the vision half unquantized, does quantizing it break something specific or just seemed safer for now

GLM-5.3-Flash-Q2 It's a golden-hour street scene in Vieux Nice (old town), France, looking down a stepped street (likely the Montée/Rue Sainte-République area near Place Rossetti): - Warm pastel façades (ochre, terracotta, cream) with shuttered windows and wrought-iron ...

What quants ?

Very glad to hear this information.

Are you reading my mind? I was just hoping for this yesterday evening after I got it running

Hope @Apple sends you an early M5 Ultra rig when ready - there isn’t a better test bed and example of usage!

