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zozbot234 2 hours ago

You can definitely offload n-gram embeddings to storage; they're very sparsely used (only a few KB fetched per token) so this is quite effective. Loading to DRAM only becomes necessary if they are a bottleneck to overall performance (which might happen if you're doing very wide batches and everything else uses super fast VRAM/HBM).

verdverm 2 hours ago | parent [-]

I was looking at the qwen-next-flash, and the weights would fill my OEM Spark on their own, before the n-gram. I'm unclear if offloading to disk can work here, is that what you are implying is possible?!

girvo 2 hours ago | parent [-]

Check out eugr’s TP=1 sparkrun recipe :)

It’s an NVFP4 quant, but it fits, and is surprisingly capable.

verdverm 2 hours ago | parent [-]

do you have a HF link? HF search is not uncovering it for me

(or is it somewhere else)

girvo 2 hours ago | parent | next [-]

https://github.com/spark-arena/eugr-recipes/blob/main/recipe...

This one!

I'd recommend pointing your agent at it (after installing sparkrun), and asking it to research the absolute latest in TP=1 Flash-Next - mine grabbed particular vLLM nightlies and mods to improve performance, and it was well worth it.

verdverm 2 hours ago | parent [-]

I have a quirky vLLM on k8s on 2x OEM sparks setup with 9 models available to me. I'm not keen to run nightly vLLM, too many issues with it in the past. Going the qwen-next path means displacing things I use daily :/

I have a watchful eye on the diffusion ~ Jev/Kev PR

https://github.com/vllm-project/vllm/pull/57250

girvo 2 hours ago | parent [-]

For what it's worth, Flash Next outperforms every other model that is available to us on the GB10 in all of my testing; though if you have two sparks then the TP=2 version is even better and easier (I don't think you'll need the nightly for that at all, just use the recipe)

I'm so tempted to buy a second one...

verdverm an hour ago | parent [-]

prices have gone up quite a bit...

I'm running embedding, reranking, and policy tuned models too, and a Jev/Kev when that's landed. Flash Next is not a substitute for those

I have OpenCode/Fireworks to access big models

verdverm 2 hours ago | parent | prev [-]

looks like this is likely it

https://github.com/spark-arena/eugr-recipes

https://github.com/eugr/spark-vllm-docker