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…decoding Add a new Spark recipe for serving Qwen3.6-27B-FP8 across two DGX Spark nodes using Ray distributed executor and RoCE interconnect. Key features: - Dual-node tensor parallelism (TP=2) via Ray distributed executor backend - Qwen MTP (Multi-Token Prediction) speculative decoding with 3 speculative tokens for improved throughput - FlashAttention attention backend for optimal performance - Chunked prefill and prefix caching for efficient request handling - RoCE network configuration (NCCL) with explicit HCA and socket interface settings for low-latency GPU-to-GPU communication - Custom chat template via fix-qwen3.6-enhanced-chat-template mod - Tool call parsing (qwen3_coder) and reasoning parser (qwen3) support - Conservative generation defaults (temp=0.2, top_p=0.90, top_k=20) - 256K max context length with 16K max batched tokens and 8 max sequences Target hardware: two DGX Spark nodes connected via RoCE (200GbE). Model: Qwen/Qwen3.6-27B-FP8 from HuggingFace.
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hi @mmike87 is this PR missing fix-qwen3.6-enhanced-chat-template? |
Author
Yes, sorry - I'll fix it. |
Author
This should be fixed in the PR. Thanks! |
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@mmike87 nice! thanks a lot |
Author
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What's the approval process? |
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i'm not so sure too. i think you may have to tag @eugr for a reviewer? |
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…decoding
Add a new Spark recipe for serving Qwen3.6-27B-FP8 across two DGX Spark nodes using Ray distributed executor and RoCE interconnect.
Key features:
Target hardware: two DGX Spark nodes connected via RoCE (200GbE).
Model: Qwen/Qwen3.6-27B-FP8 from HuggingFace.