Added github bug for rocm model loading
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@@ -32,7 +32,7 @@ Fedora Rawhide-based containers for AMD Ryzen AI MAX+ 395 **Strix Halo** chips w
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| Backend | Status | Notes |
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|---------|---------|-------|
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| **Vulkan** | ✅ **Recommended** | Most stable, best performance across all model sizes |
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| **ROCm 6.4.2** | ⚠️ Limited | Works ok, but extremely slow past 64GB memory allocations |
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| **ROCm 6.4.2** | ⚠️ Limited | Works ok, but extremely slow past 64GB memory allocations [GitHub Issue #15018](https://github.com/ggml-org/llama.cpp/issues/15018) |
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| **ROCm 7.0 beta** | ❌ Unstable | Frequent crashes under heavy load (llama-bench), basic usage possible |
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## 2. Available Containers
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@@ -70,7 +70,8 @@ podman pull docker.io/kyuz0/amd-strix-halo-toolboxes:rocm-7beta
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**For Vulkan (Recommended):**
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```bash
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toolbox create llama-vulkan \
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--image docker.io/kyuz0/amd-strix-halo-toolboxes:vulkan \
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--image docker.io/kyuz0/amd-strix-halo-toolboxes:vulkan \[GitHub Issue #15018](https://github.com/ggml-org/llama.cpp/issues/15018)
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-- \
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--device /dev/dri \
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--group-add video \
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@@ -327,3 +328,5 @@ sudo reboot
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Follow this guide by TechnigmaAI for a working configuration on Ubuntu 22.04:
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https://github.com/technigmaai/technigmaai-wiki/wiki/AMD-Ryzen-AI-Max--395:-GTT--Memory-Step%E2%80%90by%E2%80%90Step-Instructions-(Ubuntu-24.04)
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