ERROR: Can't install llama-cpp-python[server] WITH CMAKE_ARGS="-DLLAMA_CUBLAS=on" In VERSION 0.2.24 or higher

# Prerequisites

Please answer the following questions for yourself before submitting an issue.

- [x] I am running the latest code. Development is very rapid so there are no tagged versions as of now.
- [x] I carefully followed the [README.md](https://github.com/abetlen/llama-cpp-python/blob/main/README.md).
- [x] I [searched using keywords relevant to my issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/filtering-and-searching-issues-and-pull-requests) to make sure that I am creating a new issue that is not already open (or closed).
- [x] I reviewed the [Discussions](https://github.com/abetlen/llama-cpp-python/discussions), and have a new bug or useful enhancement to share.

# Expected Behavior

when run `!CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python[server]` should install as expected.
but only install on version <= `0.2.23`, on `0.2.24` or higher not install

# Current Behavior

```
Building wheel for llama-cpp-python (pyproject.toml) ... error
error: subprocess-exited-with-error

× Building wheel for llama-cpp-python (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [86 lines of output]
*** scikit-build-core 0.8.0 using CMake 3.22.1 (wheel)
*** Configuring CMake...
2024-01-24 17:27:52,450 - scikit_build_core - WARNING - libdir/ldlibrary: /opt/conda/lib/libpython3.10.a is not a real file!
2024-01-24 17:27:52,450 - scikit_build_core - WARNING - Can't find a Python library, got libdir=/opt/conda/lib, ldlibrary=libpython3.10.a, multiarch=x86_64-linux-gnu, masd=None
/usr/bin/cmake: /opt/conda/lib/libcurl.so.4: no version information available (required by /usr/bin/cmake)
loading initial cache file /tmp/tmpw9fhwjga/build/CMakeInit.txt
-- The C compiler identification is GNU 11.4.0
-- The CXX compiler identification is GNU 11.4.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found Git: /usr/bin/git (found version "2.34.1")
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Found CUDAToolkit: /usr/local/cuda/include (found version "11.8.89")
-- cuBLAS found
-- The CUDA compiler identification is NVIDIA 11.8.89
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Using CUDA architectures: 52;61;70
-- CUDA host compiler is GNU 11.4.0

-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- x86 detected
INSTALL TARGETS - target llama has PUBLIC_HEADER files but no PUBLIC_HEADER DESTINATION.
INSTALL TARGETS - target llama has PUBLIC_HEADER files but no PUBLIC_HEADER DESTINATION.
-- Configuring done
CMake Error at vendor/llama.cpp/CMakeLists.txt:782 (add_library):
Target "ggml_shared" links to target "CUDA::cuda_driver" but the target was
not found. Perhaps a find_package() call is missing for an IMPORTED
target, or an ALIAS target is missing?


CMake Error at vendor/llama.cpp/CMakeLists.txt:789 (add_library):
Target "llama" links to target "CUDA::cuda_driver" but the target was not
found. Perhaps a find_package() call is missing for an IMPORTED target, or
an ALIAS target is missing?


CMake Error at vendor/llama.cpp/CMakeLists.txt:789 (add_library):
Target "llama" links to target "CUDA::cuda_driver" but the target was not
found. Perhaps a find_package() call is missing for an IMPORTED target, or
an ALIAS target is missing?


CMake Error at vendor/llama.cpp/examples/llava/CMakeLists.txt:20 (add_library):
Target "llava_shared" links to target "CUDA::cuda_driver" but the target
was not found. Perhaps a find_package() call is missing for an IMPORTED
target, or an ALIAS target is missing?


CMake Error at vendor/llama.cpp/examples/llava/CMakeLists.txt:34 (add_executable):
Target "llava-cli" links to target "CUDA::cuda_driver" but the target was
not found. Perhaps a find_package() call is missing for an IMPORTED
target, or an ALIAS target is missing?


CMake Error at vendor/llama.cpp/CMakeLists.txt:756 (add_library):
Target "ggml" links to target "CUDA::cuda_driver" but the target was not
found. Perhaps a find_package() call is missing for an IMPORTED target, or
an ALIAS target is missing?


CMake Error at vendor/llama.cpp/examples/llava/CMakeLists.txt:1 (add_library):
Target "llava" links to target "CUDA::cuda_driver" but the target was not
found. Perhaps a find_package() call is missing for an IMPORTED target, or
an ALIAS target is missing?


-- Generating done
CMake Generate step failed. Build files cannot be regenerated correctly.

*** CMake configuration failed
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for llama-cpp-python
Failed to build llama-cpp-python
ERROR: Could not build wheels for llama-cpp-python, which is required to install pyproject.toml-based projects
```

# Environment and Context

`Kaggle machine, JUPYTER NOTEBOOK`

```
Wed Jan 24 17:58:50 2024
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.129.03 Driver Version: 535.129.03 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 Tesla P100-PCIE-16GB Off | 00000000:00:04.0 Off | 0 |
| N/A 39C P0 27W / 250W | 0MiB / 16384MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
```

* Physical (or virtual) hardware you are using, e.g. for Linux:

`$ lscpu`

```
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) CPU @ 2.00GHz
CPU family: 6
Model: 85
Thread(s) per core: 2
Core(s) per socket: 2
Socket(s): 1
Stepping: 3
BogoMIPS: 4000.28
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mc
a cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscal
l nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopo
logy nonstop_tsc cpuid tsc_known_freq pni pclmulqdq sss
e3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes
xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefe
tch invpcid_single pti ssbd ibrs ibpb stibp fsgsbase ts
c_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx a
vx512f avx512dq rdseed adx smap clflushopt clwb avx512c
d avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat
md_clear arch_capabilities
Virtualization features:
Hypervisor vendor: KVM
Virtualization type: full
Caches (sum of all):
L1d: 64 KiB (2 instances)
L1i: 64 KiB (2 instances)
L2: 2 MiB (2 instances)
L3: 38.5 MiB (1 instance)
NUMA:
NUMA node(s): 1
NUMA node0 CPU(s): 0-3
Vulnerabilities:
Gather data sampling: Not affected
Itlb multihit: Not affected
L1tf: Mitigation; PTE Inversion
Mds: Mitigation; Clear CPU buffers; SMT Host state unknown
Meltdown: Mitigation; PTI
Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode;
SMT Host state unknown
Retbleed: Mitigation; IBRS
Spec rstack overflow: Not affected
Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
and seccomp
Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer
sanitization
Spectre v2: Mitigation; IBRS, IBPB conditional, STIBP conditional,
RSB filling, PBRSB-eIBRS Not affected
Srbds: Not affected
Tsx async abort: Mitigation; Clear CPU buffers; SMT Host state unknown
```

* Operating System, e.g. for Linux:

`$ uname -a`
```
Linux 4d4231b8c112 5.15.133+ #1 SMP Tue Dec 19 13:14:11 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
```
* SDK version, e.g. for Linux:

```
$ python3 --version Python 3.10.12
$ make --version GNU Make 4.3 Built for x86_64-pc-linux-gnu
$ g++ --version g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
```