Unable to Build llama-cpp-python with Vulkan (Core Dump on Model Load)

I have successfully built llama.cpp with Vulkan, and it works fine on my AMD RX 580 GPU.
I have tested the following models on llama.cpp with Vulkan, and they all work without issues:
- Phi-3-mini-4k-instruct-q4.gguf
- Llama-3.2-3B-Instruct-Q4_K_M.gguf
- DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M.gguf
- DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf

and the performance was also very good(at least compared to my cpu)
For reference, DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf runs with the following performance stats on my RX 580:

```
llama_perf_sampler_print: sampling time = 54.49 ms / 400 runs ( 0.14 ms per token, 7340.53 tokens per second)
llama_perf_context_print: load time = 2802.42 ms
llama_perf_context_print: prompt eval time = 5512.67 ms / 33 tokens ( 167.05 ms per token, 5.99 tokens per second)
llama_perf_context_print: eval time = 13618.49 ms / 395 runs ( 34.48 ms per token, 29.00 tokens per second)
llama_perf_context_print: total time = 39999.09 ms / 428 tokens
```

However, when trying to build llama-cpp-python with Vulkan enabled, I always encounter a core dump when loading the model.
What Fails (llama-cpp-python with Vulkan)
When I attempt to install llama-cpp-python with Vulkan using:

`CMAKE_ARGS="-DLLAMA_CUBLAS=OFF -DLLAMA_CLBLAST=OFF -DLLAMA_METAL=OFF -DLLAMA_VULKAN=ON" pip install --no-cache-dir llama-cpp-python`

The installation succeeds, but when I try to load any model, it fails with a core dump.
Even when explicitly specifying Vulkan in Python:

`llm = Llama(model_path=model_path, n_gpu_layers=100, n_threads=8, use_vulkan=True)`

The model fails to load and crashes. Since llama.cpp works with Vulkan on my RX 580, I expect llama-cpp-python to function similarly. However, it crashes when attempting to load a model.