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What inference server are you using? They have a custom branch for llama.cpp, but I wouldn't be surprised at all if it still needs fixing.

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This: https://github.com/Blaizzy/mlx-lm/tree/pc/add-lg ...and this is what I should probably wait for (not sure why it's in vlm): https://github.com/Blaizzy/mlx-vlm/tree/pc/laguna-s-nvfp4 ...or perhaps I should've just used the gguf with the provided llama.cpp instead of trying to run the nvfp4-mlx from the get go, but where's the chaos in that :)

Running deepseek flash on something locally now, this will have to wait a bit. I still stand by my initial quick assessment - looks capable. Some people on r/localllama also reported loops. We'll see in ~10 hours. Hopefully I haven't terribly mislead people.

This is definitely one where wait 2-3 weeks and look again, feels like the right strategy. It could be good, it could not. It is too volatile to say.

Might wanna try it now, seems to have been largely fixed. Check huggingface threads and reddit. Works for me, very memory hungry and PP speed drops off a cliff around 200k context (~30tok/s decode and ~40tok/s pp - like... hope it isn't debugging with big logs), but it brings a fresh perspective alongside ds4-flash. The more, the merrier - I prefer keen eyeballs more than speed anyways.

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