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

[Talnz007]

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.