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spark-vllm-docker/recipes/qwen3-coder-next-fp8.yaml
2026-02-09 14:33:35 -08:00

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# Recipe: Qwen3-Coder-Next-FP8
# Qwen3-Coder-Next model in native FP8 format
# Currently can only be run in solo mode, cluster mode fails with error - tracking https://github.com/vllm-project/vllm/issues/33857
recipe_version: "1"
name: Qwen3-Coder-Next-FP8
description: vLLM serving Qwen3-Coder-Next-FP8 on a SINGLE NODE ONLY!
# HuggingFace model to download (optional, for --download-model)
model: Qwen/Qwen3-Coder-Next-FP8
# This model can only run on single node (solo)
solo_only: true
# Container image to use
container: vllm-node
# No mods required
mods: []
# Default settings (can be overridden via CLI)
defaults:
port: 8000
host: 0.0.0.0
tensor_parallel: 1
gpu_memory_utilization: 0.7
max_model_len: 131072
# Environment variables
env: {}
# The vLLM serve command template
command: |
vllm serve Qwen/Qwen3-Coder-Next-FP8 \
--enable-auto-tool-choice \
--tool-call-parser qwen3_coder \
--gpu-memory-utilization {gpu_memory_utilization} \
--host {host} \
--port {port} \
--load-format fastsafetensors \
--attention-backend flashinfer \
--enable-prefix-caching \
--max-model-len {max_model_len}