64 lines
1.5 KiB
YAML
64 lines
1.5 KiB
YAML
# Recipe: Qwen3.5-397B-A17B-FP8
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# Qwen3.5-397B-A17B model in FP8 precision
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# Multi-modal input
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recipe_version: "1"
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name: Qwen3.5-397B-A17B-FP8
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description: vLLM serving Qwen3.5-397B-A17B-FP8
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# HuggingFace model to download (optional, for --download-model)
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model: Qwen/Qwen3.5-397B-A17B-FP8
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#solo_only: true
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# Container image to use
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container: vllm-node-tf5
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build_args:
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- --tf5
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- --rebuild-flashinfer
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- --rebuild-vllm
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# Mod required to fix ROPE syntax error
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mods:
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- mods/fix-qwen3.5-autoround
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# Default settings (can be overridden via CLI)
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defaults:
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port: 8000
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host: 0.0.0.0
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tensor_parallel: 4
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gpu_memory_utilization: 0.85
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max_model_len: 262144
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max_num_batched_tokens: 8192
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# Environment variables
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env:
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VLLM_USE_DEEP_GEMM: 0
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VLLM_USE_FLASHINFER_MOE_FP16: 1
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VLLM_USE_FLASHINFER_SAMPLER: 0
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OMP_NUM_THREADS: 4
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# The vLLM serve command template
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command: |
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vllm serve Qwen/Qwen3.5-397B-A17B-FP8 \
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--max-model-len {max_model_len} \
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--gpu-memory-utilization {gpu_memory_utilization} \
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--port {port} \
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--host {host} \
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--load-format fastsafetensors \
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--enable-prefix-caching \
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--enable-auto-tool-choice \
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--tool-call-parser qwen3_coder \
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--reasoning-parser qwen3 \
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--max-num-batched-tokens {max_num_batched_tokens} \
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--trust-remote-code \
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-tp {tensor_parallel} \
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--distributed-executor-backend ray \
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--mm-encoder-tp-mode data \
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--kv-cache-dtype fp8 \
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--compilation-config.cudagraph_mode none \
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--max-num-seqs 32 \
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--attention-backend flashinfer
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