Radiance running Qwen 3.8 Flash Next on 2x R9700 with ngrams on NVMe

lemmy.ca

Radiance running Qwen 3.8 Flash Next on 2x R9700 with ngrams on NVMe

lemmy.ca

Avid Amoeba@lemmy.ca to

LocalLLaMA@sh.itjust.worksEnglish · 17 days ago

This is with 2 concurrent streams. Radiance is insane. On the same hardware llama.cpp would do 15-25tps, vLLM would be similar.

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

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Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they’re still using the same algorithms since <over 10 years ago>.

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