Adjusted model parameters
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@@ -1,44 +1,44 @@
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# Recipe: Nemotron-3-Super-NVFP4
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# Optimized for Marlin backend throughput
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recipe_version: "2"
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recipe_version: "1"
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name: Nemotron-3-Super-NVFP4-Marlin-Optimized
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description: vLLM serving Nemotron-3-Super-120B using Marlin kernels
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model: nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4
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container: vllm-node
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cluster_only: false
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# This model can only run on single node (solo)
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solo_only: true
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mods:
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- mods/nemotron-super
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container: vllm-node
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defaults:
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port: 8888
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port: 8000
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host: 0.0.0.0
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tensor_parallel: 1
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gpu_memory_utilization: 0.7
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max_model_len: 262144
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max_num_seqs: 8
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max_num_seqs: 10
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env:
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# Marlin performance overrides
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VLLM_NVFP4_GEMM_BACKEND: "marlin"
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VLLM_TEST_FORCE_FP8_MARLIN: "1"
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VLLM_MARLIN_USE_ATOMIC_ADD: "1"
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# Disable conflicting backends
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VLLM_FP8_BACKEND: "marlin"
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VLLM_SCALED_MM_BACKEND: "marlin"
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command: |
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vllm serve nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 \
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--max-model-len {max_model_len} \
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--max-num-seqs {max_num_seqs} \
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--port {port} --host {host} \
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--trust-remote-code \
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--tensor-parallel-size {tensor_parallel} \
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--kv-cache-dtype fp8 \
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--load-format fastsafetensors \
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--gpu-memory-utilization {gpu_memory_utilization} \
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--enable-auto-tool-choice \
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--tool-call-parser qwen3_coder \
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--reasoning-parser-plugin super_v3_reasoning_parser.py \
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--reasoning-parser super_v3
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vllm serve nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 \
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--kv-cache-dtype fp8 \
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-tp {tensor_parallel} \
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--trust-remote-code \
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--gpu-memory-utilization {gpu_memory_utilization} \
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--max-model-len {max_model_len} \
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--max-num-seqs {max_num_seqs} \
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--enable-prefix-caching \
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--host {host} \
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--port {port} \
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--enable-auto-tool-choice \
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--load-format fastsafetensors \
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--tool-call-parser qwen3_coder \
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--reasoning-parser-plugin super_v3_reasoning_parser.py \
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--reasoning-parser super_v3
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