diff --git a/llamacpp/deployment-qwen36.yaml b/llamacpp/deployment-qwen36.yaml
index 29d40af..5e4c599 100644
--- a/llamacpp/deployment-qwen36.yaml
+++ b/llamacpp/deployment-qwen36.yaml
@@ -70,17 +70,27 @@ spec:
       - name: llama-server
         image: ghcr.io/ggml-org/llama.cpp:server-vulkan
         imagePullPolicy: IfNotPresent
+        # llama.cpp's CLI parser does NOT split on '=' — every value flag must be a
+        # separate argv element (flag, then value). See common/arg.cpp in the repo.
         args:
-        - -m=/models/Qwen3.6-27B-UD-Q4_K_XL.gguf
-        - --alias=qwen3.6          # /v1/models reports this name; matches the litellm alias
-        - --host=0.0.0.0
-        - --port=8080
+        - -m                       # model file
+        - /models/Qwen3.6-27B-UD-Q4_K_XL.gguf
+        - --alias                 # /v1/models reports this name; matches the litellm alias
+        - qwen3.6
+        - --host
+        - 0.0.0.0
+        - --port
+        - "8080"
         - --jinja                  # use the GGUF's chat template (Qwen3 thinking format)
-        - -ngl=999                 # offload ALL layers to the GPU (fits in 96 GiB VRAM)
-        - -c=32768                 # total KV-cache context, split across parallel slots
-        - -np=4                    # 4 parallel slots => 8192 tokens per concurrent request
+        - -ngl                     # offload ALL layers to the GPU (fits in 96 GiB VRAM)
+        - "999"
+        - -c                       # total KV-cache context, split across parallel slots
+        - "32768"
+        - -np                      # 4 parallel slots => 8192 tokens per concurrent request
+        - "4"
         - --cont-batching          # continuous batching across slots
-        - --threads=8              # CPU threads for sampling/overhead (GPU does the heavy lifting)
+        - --threads                # CPU threads for sampling/overhead (GPU does the heavy lifting)
+        - "8"
         ports:
         - name: http
           containerPort: 8080