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+## How to use docker-compose instead of toolbox
+
+## Table of Contents
+
+1.  [Vulkan AMDVLK](#1-vulkanamdvlk)
+2.  [ROCm-6.4.4+ROCWMMA](#2-rocm-644-rocwmma)
+
+## 1. Vulkan(AMDVLK)  
+
+1.  Select applicable backend Dockerfile from repo. Example:  
+    https://github.com/kyuz0/amd-strix-halo-toolboxes/blob/main/toolboxes/Dockerfile.vulkan-amdvlk
+    
+2.  In the build file, change shell command to:
+
+
+```
+# shell
+CMD ["/bin/bash", "-c", "llama-server --host $HOST --port $PORT -c $CONTEXT_LENGTH --temp $TEMPERATURE --jinja --no-mmap -ngl $NGL -fa $FA -m $MODEL_PATH"]
+```
+
+3.  Build container with:
+
+```
+docker build -f Dockerfile.vulkan-amdvlk -t vulkan-amdvlk:1.0 .
+```
+
+4.  Download your model files to a directory. We will mount this from the container. I use:
+
+```
+/mnt/models
+```
+
+5.  Create your docker compose, using this template. Change the ports and paths as needed.
+
+```
+services:
+  gpt-oss-120b:
+    container_name: gpt-oss-120b
+    image: vulkan-amdvlk:1.0
+    ports:
+      - "8069:8069"
+    volumes:
+      - /mnt/models:/mnt/models
+    devices:
+      - "/dev/dri:/dev/dri"
+    privileged: true
+    restart: unless-stopped
+    environment:
+      - HOST=0.0.0.0
+      - PORT=8069
+      - CONTEXT_LENGTH=120000
+      - TEMPERATURE=0.0
+      - MODEL_PATH=/mnt/models/gpt-oss-120b-UD-Q4_K_XL/gpt-oss-120b-UD-Q4_K_XL-00001-of-00002.gguf
+      - NGL=999
+      - FA=on
+```
+
+6.  Start as usual.
+
+```
+docker compose up -d
+```
+
+## 2. ROCm-6.4.4-ROCWMMA  
+
+1.  Select applicable backend Dockerfile from repo. Example:  
+    https://github.com/kyuz0/amd-strix-halo-toolboxes/blob/main/toolboxes/Dockerfile.rocm-6.4.4-rocwmma
+    
+3.  In the build file, change shell command to:
+    
+
+```
+# shell
+CMD ["/bin/bash", "-c", "llama-server --host $HOST --port $PORT -c $CONTEXT_LENGTH --temp $TEMPERATURE --jinja --no-mmap -ngl $NGL -fa $FA -m $MODEL_PATH"]
+```
+
+3.  Build container with:
+
+```
+docker build -f Dockerfile.rocm-6.4.4-rocwmma -t rocm-6.4.4-rocwmma:1.0 .
+```
+
+4.  Download your model files to a directory. We will mount this from the container. I use:
+
+```
+/mnt/models
+```
+
+5.  Create your docker compose, using this template. Change the ports and paths as needed.
+
+```
+services:
+  gpt-oss-120b:
+    container_name: gpt-oss-120b
+    image: rocm-6.4.4-rocwmma:1.0
+    ports:
+      - "8069:8069"
+    volumes:
+      - /mnt/models:/mnt/models
+    devices:
+      - "/dev/dri:/dev/dri"
+      - "/dev/kfd:/dev/kfd"
+    privileged: true
+    restart: unless-stopped
+    environment:
+      - HOST=0.0.0.0
+      - PORT=8069
+      - CONTEXT_LENGTH=120000
+      - TEMPERATURE=0.0
+      - MODEL_PATH=/mnt/models/gpt-oss-120b-UD-Q4_K_XL/gpt-oss-120b-UD-Q4_K_XL-00001-of-00002.gguf
+      - NGL=999
+      - FA=on
+```
+
+6.  Start as usual.
+
+```
+docker compose up -d
+```