Updated README with instructions to clear old toolboxes
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@@ -84,6 +84,15 @@ To use Llama.cpp with hardware acceleration inside a toolbox container, you must
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> * Extra groups (`video`, `render`, `sudo`) may be required for full access to GPU nodes and compute features, especially with ROCm.
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> * Use `--security-opt seccomp=unconfined` to avoid seccomp sandbox issues (needed for some GPU syscalls).
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#### 2.1.1 Updating boxes
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If you want to make sure to get updated version of the toolboxes, always pull the new image and delete any existing box:
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```sh
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podman pull docker.io/kyuz0/amd-strix-halo-toolboxes:vulkan-amdvlk
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toolbox rm -f llama-vulkan-amdvlk
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```
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### 2.2 Running models inside the toolboxes 
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Before running any commands, you must first enter your toolbox container shell using:
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