Adjusted model parameters

recipes/nemotron-3-super-nvfp4.yaml

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