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- # Qwen3.8-27B (FP8 + DSpark draft) — 1× DGX Spark / GB10 (sm_121), TP=1.
- #
- # DSpark: a dedicated semi-autoregressive draft model (~2.6 GB, 5 layers,
- # block_size 7) proposes blocks of tokens that the full model verifies in one
- # weight-read. 3× cheaper per guess than the in-checkpoint MTP head, so it wins
- # on edit-heavy / structured workloads (blog: 45-48 t/s edit, 17 t/s free-gen,
- # 66 t/s aggregate @ c10 on the FP8 target). DSpark blocks are verifier-rejected,
- # so no quality risk.
- #
- # Target: Qwen/Qwen3.8-27B-FP8 (official FP8 quant, 28.75 GB).
- # Draft: RadixArk/Qwen3.8-27B-DSpark (arch DSparkDraftModel, bf16, 5 layers,
- # dspark_block_size 7). Downloaded via hfrs into the node HF cache.
- #
- # Image: ghcr.io/timothystewart6/vllm-gb10:v0.27.1-gb10.2
- # vLLM 0.27.1 (installed 0.27.2.dev0+g6e448d0ea), supports method "dspark"
- # (SpeculativeMethod Literal includes dspark) + Qwen3DSparkModel draft.
- #
- # PREREQUISITES:
- # Target + draft cached on the node (dgx1 ~/.cache/huggingface → NAS):
- # hfrs download Qwen/Qwen3.8-27B-FP8
- # hfrs download RadixArk/Qwen3.8-27B-DSpark
- #
- # REFERENCE:
- # https://blog.kubesimplify.com/qwen3-8-27b-on-dgx-spark (DSpark section)
- # https://huggingface.co/RadixArk/Qwen3.8-27B-DSpark
- # https://forums.developer.nvidia.com/t/qwen3-8-27b-on-dual-sparks/380350
- engine = "vllm"
- name = "Qwen3.8-27B (FP8 + DSpark)"
- docker_image = "ghcr.io/timothystewart6/vllm-gb10:v0.27.1-gb10.2"
- model = "Qwen/Qwen3.8-27B-FP8"
- required_nodes = 1
- tensor_parallel_size = 1
- pipeline_parallel_size = 1
- distributed_backend = "mp"
- shm_size = "32gb"
- entrypoint = ["vllm", "serve"]
- args = [
- # KV cache & memory
- "--kv-cache-dtype", "fp8",
- "--max-model-len", "262144",
- "--max-num-seqs", "6",
- "--max-num-batched-tokens", "8192",
- "--gpu-memory-utilization", "0.75",
- "--served-model-name", "qwen3.8-27b",
- # Engine backends (dense GQA — FlashInfer)
- "--attention-backend", "flashinfer",
- # Compilation / perf
- "--optimization-level", "3",
- "--performance-mode", "throughput",
- # Chunked prefill + prefix caching
- "--enable-chunked-prefill",
- "--enable-prefix-caching",
- "--enable-flashinfer-autotune",
- # DSpark speculative decoding — dedicated draft model (not the in-checkpoint
- # MTP head). num_speculative_tokens must equal the draft's block size (7).
- # The draft lives in a local dir (arch-patched copy of RadixArk/Qwen3.8-27B-DSpark
- # re-labelled `Qwen3DSparkModel` so vLLM routes it to qwen3_dspark, not the
- # DeepSeek-V4 DSpark code path) bind-mounted at /dspark-draft below.
- "--speculative-config", """
- '{"method":"dspark","model":"/dspark-draft","num_speculative_tokens":7}'""",
- # Tokenizer / reasoning (Qwen3 family)
- "--tool-call-parser", "qwen3_xml",
- "--reasoning-parser", "qwen3",
- "--enable-auto-tool-choice",
- "--generation-config", "auto",
- "--default-chat-template-kwargs.preserve_thinking=true",
- # Proven generation defaults (thinking mode; Qwen3.8 model-card best
- # practices)
- "--override-generation-config", """
- '{"temperature":1.0,"top_p":0.95,"top_k":20,"min_p":0.0,"presence_penalty":0.0,"repetition_penalty":1.0}'""",
- "--trust-remote-code",
- ]
- # DSpark draft model — arch-patched local copy of RadixArk/Qwen3.8-27B-DSpark,
- # mounted at /dspark-draft so vLLM loads it via the qwen3_dspark draft class.
- [[extra_mounts]]
- host = "/home/kilork/dspark-draft"
- container = "/dspark-draft"
- [env]
- HF_HUB_OFFLINE = "1"
- TORCH_CUDA_ARCH_LIST = "12.1a"
- CUTE_DSL_ARCH = "sm_121a"
- OMP_NUM_THREADS = "4"
- PYTORCH_CUDA_ALLOC_CONF = "expandable_segments:True"
- CUDA_VISIBLE_DEVICES = "0"
- CUDA_DEVICE_ORDER = "PCI_BUS_ID"
- CUDA_CACHE_MAXSIZE = "4294967296"
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