Does not work with dgx spark

#13
by sotaaa - opened

Tried to follow https://build.nvidia.com/spark/sglang/instructions to run a sglang docker on dgx spark, then ran the model using the provided command in model card. Got this error

launch_server.py: error: argument --reasoning-parser: invalid choice: 'nano_v3' (choose from 'deepseek-r1', 'deepseek-v3', 'glm45', 'gpt-oss', 'kimi', 'qwen3', 'qwen3-thinking', 'minimax', 'minimax-append-think', 'step3')

yes would be awesome to have it work on dgx spark

Same issue here on DGX Spark.

Environment:

  • DGX Spark, GB10 GPU, CUDA 13.0.1
  • Model downloaded: /home/data/models/nemotron-3-nano-bf16 (all 13 safetensors verified)

Tried:

  1. lmsysorg/sglang:spark β†’ nano_v3 parser not available (same error as OP)
  2. nvcr.io/nvidia/vllm:25.11-py3 β†’ AttributeError: 'NemotronHConfig' object has no attribute 'rms_norm_eps'

Question:
Which exact docker image + tag supports Nemotron-3-Nano on DGX Spark today?

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