llava.cpp has an error on installation in an private server.

# 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. yes
- [x] I carefully followed the [README.md](https://github.com/abetlen/llama-cpp-python/blob/main/README.md). yes
- [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). yes
- [x] I reviewed the [Discussions](https://github.com/abetlen/llama-cpp-python/discussions), and have a new bug or useful enhancement to share. yes

# Expected Behavior

Please provide a detailed written description of what you were trying to do, and what you expected `llama-cpp-python` to do.
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Collecting numpy>=1.20.0

# Current Behavior

In file included from /home/usr/anaconda3/envs/pytorch_p38/x86_64-conda-linux-gnu/include/c++/9.3.0/chrono:41,
from /home/usr/llama-cpp-python/vendor/llama.cpp/examples/llava/../../common/log.h:3,
from /home/usr/llama-cpp-python/vendor/llama.cpp/examples/llava/../../common/common.h:10,
from /home/usr/llama-cpp-python/vendor/llama.cpp/examples/llava/llava.cpp:2:
/home/usr/anaconda3/envs/pytorch_p38/x86_64-conda-linux-gnu/include/c++/9.3.0/ctime:80:11: error: '::timespec_get' has not been declared
80 | using ::timespec_get;
| ^~~~~~~~~~~~
Please provide a detailed written description of what `llama-cpp-python` did, instead.

# Environment and Context

conda environment with pytorch3.8

Please provide detailed information about your computer setup. This is important in case the issue is not reproducible except for under certain specific conditions.

* Physical (or virtual) hardware you are using, e.g. for Linux:
249GB RAM private server

EC2 -system Ubuntu 22.02
`$ lscpu`

* Operating System, e.g. for Linux:

`$ uname -a`

* SDK version, e.g. for Linux:

```
$ python3 --version 3.8
$ make --version GNU Make 3.82
$ g++ --version 7.3.1
```

# Failure Information (for bugs)

This is not working in a private server with no connection to the internet.
I copied all the dependencies into the server environment and then
Please help provide information about the failure if this is a bug. If it is not a bug, please remove the rest of this template.

# Steps to Reproduce

Please provide detailed steps for reproducing the issue. We are not sitting in front of your screen, so the more detail the better.

1. git clone llama-cpp-python and then git clone llama.cpp and then make a folder named vendor inside it copy llama.cpp folder into the server without internet connection.
2. Get pyproject_meta_data.whl file and scikit-build-core.whl file from the net and copy it in the server. Put the path in the pip/pip.conf file
3. Go inside the llama-cpp-python file and do pip install . -e

**Note: Many issues seem to be regarding functional or performance issues / differences with `llama.cpp`. In these cases we need to confirm that you're comparing against the version of `llama.cpp` that was built with your python package, and which parameters you're passing to the context.**

Try the following:

1. `git clone https://github.com/abetlen/llama-cpp-python`
2. `cd llama-cpp-python`
3. `rm -rf _skbuild/` # delete any old builds
4. `python -m pip install .`
5. `cd ./vendor/llama.cpp`
6. Follow [llama.cpp's instructions](https://github.com/ggerganov/llama.cpp#build) to `cmake` llama.cpp
7. Run llama.cpp's `./main` with the same arguments you previously passed to llama-cpp-python and see if you can reproduce the issue. If you can, [log an issue with llama.cpp](https://github.com/ggerganov/llama.cpp/issues)

Yes trying these steps and retrying with cmake produces the same error.
# Failure Logs

Please include any relevant log snippets or files. If it works under one configuration but not under another, please provide logs for both configurations and their corresponding outputs so it is easy to see where behavior changes.

Also, please try to **avoid using screenshots** if at all possible. Instead, copy/paste the console output and use [Github's markdown](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) to cleanly format your logs for easy readability.

Example environment info:
```
llama-cpp-python$ git log | head -1
commit 47b0aa6e957b93dbe2c29d53af16fbae2dd628f2

llama-cpp-python$ python3 --version
Python 3.10.10

llama-cpp-python$ pip list | egrep "uvicorn|fastapi|sse-starlette|numpy"
fastapi 0.95.0
numpy 1.24.3
sse-starlette 1.3.3
uvicorn 0.21.1

llama-cpp-python/vendor/llama.cpp$ git log | head -3
commit 66874d4fbcc7866377246efbcee938e8cc9c7d76
Author: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
Date: Thu May 25 20:18:01 2023 -0600
```

P.S. I was able to get it running after removing option(llava.....) in the CMakeLists.txt file. So it is building for llama but not for llava