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points by notenchange 2 days ago | 0 comments

I have real world data here. On a 5060 Ti (16GB) with 64GB RAM, I’m getting ~65 tok/s on decoding and ~450 tok/s prefil for Qwen 3.8 Flash Next. 256K context.

This is totally suitable (speed wise) for coding.

This is not some top of the line hardware (might be now, but it should be run of the mill for people that built their system <1.5 years ago).

[–] ozgrakkurt 2 days ago

How do you even fit that model in there? What quant is it? Are you using llama.cpp?

[–] notenchange 2 days ago

No, I'm using strata. This is a MoE model, so it keeps the last used model in VRAM, and the rest in RAM. If it needs, it swaps the less used model in VRAM for the model in RAM for the next token.

Seems very slow, but it's actually fine.

[–] ozgrakkurt 1 day ago

Thanks, the information in their docs are really promising. I have been meaning to try it but wasn't able to yet.

[–] notenchange 2 days ago

P.S. Sorry, where you read “models” I meant experts.