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⚠️ Draft only. Not a standalone chat model. Pair with the GPTQ INT4 G64-sym target.
nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DFlash
so vLLM XPU can load the official DFlash speculator. NVIDIA ships the draft as
ModelOpt NVFP4 (E2M1 + E4M3 scales). The pinned XPU image does not consume that
packing for this draft.1vllm serve /path/to/gptq-target \
2 --quantization gptq --dtype float16 \
3 --max-model-len 16384 --max-num-seqs 1 \
4 --no-enable-prefix-caching --async-scheduling \
5 --speculative-config '{"method":"dflash","model":"/path/to/this-draft","num_speculative_tokens":7}'VLLM_XPU_ENABLE_XPU_GRAPH=1. On B70 also apply the cookbook patches
(native grouped-topk v2 + SSU B8/W4).fc NVFP4 tensors were dequantized:
E2M1 low-nibble-first × float8_e4m3fn × F32 weight_scale_2, group 16, linear
(not swizzled). Matches vLLM nvfp4_emulation_utils decode.quantization_config was removed from config.json. If a leftover
hf_quant_config.json is present, rename it — vLLM will otherwise treat the
draft as NVFP4 and fail on XPU.CONVERSION.txt.n_spec=7. Commands and raw logs are in the cookbook
(links above):