Qwen 27B Q6/Q8 KV + MTP at 256K on DGX Spark / GB10, tok/s?
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
Has anyone tested Qwen3.6-27B on NVIDIA DGX Spark / GB10 or similar systems at 256K context?
I know it's a dense model, but I'm curious how it performs with MTP enabled.
Looking for real numbers with:
- Q6/Q8 quant
- Q8 KV cache
- MTP/speculative decoding
- 256K context
Mainly interested in:
pp2048 @ d256000 tg32 @ d256000 [link] [comments]
More from r/LocalLLaMA
-
Are there any interesting architectural innovations that we seem to be on the verge of for LLM models or AI models that might be a big deal? (Excluding maybe N-gram, since everyone is already well aware of that one)
Aug 30
-
Demo of local document extraction (52 pages) using Arctic Embed and Bonsai 8B on an Iphone 16 (KernelAI app)
Aug 30
-
Will apple still release devices with mobile HbM in 2027 ?
Aug 30
-
NVIDIA® DGX Station™ Delivering Data-Center-Class Performance from the Desktop
Aug 30
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.