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spark-vllm-docker/recipes/qwen3-coder-next-int4-autoround.yaml
Eugene Rakhmatulin 45066e2b16 Updated README
2026-03-11 09:57:34 -07:00

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YAML

# Recipe: Qwen3-Coder-Next-int4-Autoround
# Qwen3-Coder-Next model in Intel int4-Autoround format
recipe_version: "1"
name: Qwen3-Coder-Next-int4-Autoround
description: Qwen3-Coder-Next-int4-Autoround
# HuggingFace model to download (optional, for --download-model)
model: Intel/Qwen3-Coder-Next-int4-AutoRound
solo_only: true
# Container image to use
container: vllm-node
# Mod required to fix autoround weight loading issues
mods:
- mods/fix-qwen3-next-autoround
# Default settings (can be overridden via CLI)
defaults:
port: 8000
host: 0.0.0.0
tensor_parallel: 2
gpu_memory_utilization: 0.7
max_model_len: 262144
# Environment variables
env:
VLLM_MARLIN_USE_ATOMIC_ADD: 1
# The vLLM serve command template
command: |
vllm serve Intel/Qwen3-Coder-Next-int4-AutoRound \
--enable-auto-tool-choice \
--tool-call-parser qwen3_coder \
--gpu-memory-utilization {gpu_memory_utilization} \
--host {host} \
--port {port} \
--load-format fastsafetensors \
--enable-prefix-caching \
--max-model-len {max_model_len} \
-tp {tensor_parallel} \
--distributed-executor-backend ray