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+# Qwen3.8-27B (BF16) — 1× DGX Spark / GB10 (sm_121), TP=1.
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+#
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+# Native BF16 dense 27B (52 GB). Quality reference baseline; the quantized
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+# variants (FP8 / NVFP4 / Int4) are the speed candidates. Runs text + vision.
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+#
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+# Image: ghcr.io/timothystewart6/vllm-gb10:v0.27.1-gb10.2
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+# vLLM 0.27.1, torch 2.13+cuda130, FlashInfer built from source,
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+# instanttensor. Stock vLLM — supports the qwen3_5 arch + MTP.
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+#
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+# Model: Qwen/Qwen3.8-27B
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+# https://huggingface.co/Qwen/Qwen3.8-27B
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+# Dense 27B, 64 layers, hidden 5120, GQA (4 KV heads × 256), Gated
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+# DeltaNet + Gated Attention hybrid. MTP-1. Native 262,144 ctx (YaRN to 1M).
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+# Multimodal (vision tower, `language_model_only: False`).
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+#
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+# PREREQUISITES:
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+# Weights cached on every node (dgx1 ~/.cache/huggingface → NAS):
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+# huggingface-cli download Qwen/Qwen3.8-27B
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+#
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+# REFERENCE:
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+# https://forums.developer.nvidia.com/t/qwen3-8-27b-mixedint4-autoround-optimized-for-a-single-dgx-spark/380248
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+# https://forums.developer.nvidia.com/t/qwen3-8-27b-on-dual-sparks/380350
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+# https://forums.developer.nvidia.com/t/qwen3-8-27b-at-34-38-tok-s-on-dgx-spark-open-source-one-command-setup-sglang-nvfp4-dspark/380257
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+
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+engine = "vllm"
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+name = "Qwen3.8-27B (BF16)"
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+docker_image = "ghcr.io/timothystewart6/vllm-gb10:v0.27.1-gb10.2"
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+model = "Qwen/Qwen3.8-27B"
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+required_nodes = 1
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+tensor_parallel_size = 1
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+pipeline_parallel_size = 1
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+distributed_backend = "mp"
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+shm_size = "32gb"
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+
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+entrypoint = ["vllm", "serve"]
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+
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+args = [
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+ # KV cache & memory
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+ "--kv-cache-dtype", "fp8",
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+ "--max-model-len", "262144",
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+ "--max-num-seqs", "6",
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+ "--max-num-batched-tokens", "8192",
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+ "--gpu-memory-utilization", "0.75",
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+ "--served-model-name", "qwen3.8-27b",
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+ # Engine backends (dense GQA — FlashInfer, not the DeepSeek MLA path)
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+ "--attention-backend", "flashinfer",
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+ # Compilation / perf
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+ "--optimization-level", "3",
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+ "--performance-mode", "throughput",
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+ # Chunked prefill + prefix caching
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+ "--enable-chunked-prefill",
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+ "--enable-prefix-caching",
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+ "--enable-flashinfer-autotune",
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+ # MTP speculative decoding (in-checkpoint draft, mtp_num_hidden_layers=1
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+ # cycled across steps)
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+ "--speculative-config", """
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+'{"method":"mtp","num_speculative_tokens":5}'""",
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+ # Tokenizer / reasoning (Qwen3 family)
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+ "--tool-call-parser", "qwen3_xml",
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+ "--reasoning-parser", "qwen3",
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+ "--enable-auto-tool-choice",
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+ "--generation-config", "auto",
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+ "--default-chat-template-kwargs.preserve_thinking=true",
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+ # Proven generation defaults (thinking mode; Qwen3.8 model-card best
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+ # practices). repetition_penalty 1.0 = identity: accepted but never
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+ # deviates from no-op during req handling (DSpark/MLA bug caveat — see
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+ # findings doc for the DeepSeek path; irrelevant to dense Qwen).
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+ "--override-generation-config", """
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+'{"temperature":1.0,"top_p":0.95,"top_k":20,"min_p":0.0,"presence_penalty":0.0,"repetition_penalty":1.0}'""",
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+ "--trust-remote-code",
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+]
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+
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+[env]
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+# Offline mode — weights must be cached on each node
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+HF_HUB_OFFLINE = "1"
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+
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+# Architecture
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+TORCH_CUDA_ARCH_LIST = "12.1a"
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+CUTE_DSL_ARCH = "sm_121a"
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+OMP_NUM_THREADS = "4"
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+
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+# GPU memory management
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+PYTORCH_CUDA_ALLOC_CONF = "expandable_segments:True"
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+
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+# GPU device isolation
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+CUDA_VISIBLE_DEVICES = "0"
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+CUDA_DEVICE_ORDER = "PCI_BUS_ID"
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+CUDA_CACHE_MAXSIZE = "4294967296"
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