Illegal instruction (core dumped) when trying to load model

# 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
To load the model

Please provide a detailed written description of what you were trying to do, and what you expected `llama-cpp-python` to do.

# Current Behavior
when i try to load the model with `llm = Llama(model_path="./llama.cpp/models/llama-2-7b-chat.Q5_K_M.gguf")`
it response with: Illegal instruction (core dumped)

This is from my syslog:
kernel: [1728595.660950] traps: python3[213941] trap invalid opcode ip:7f4aa44a4e94 sp:7ffceec92e60 error:0 in libllama.so[7f4aa448a000+9f000]

# Environment and Context
`lscpu`

> Architecture: x86_64
> CPU op-mode(s): 32-bit, 64-bit
> Address sizes: 40 bits physical, 48 bits virtual
> Byte Order: Little Endian
> CPU(s): 8
> On-line CPU(s) list: 0-7
> Vendor ID: AuthenticAMD
> Model name: AMD Opteron 63xx class CPU
> CPU family: 21
> Model: 2
> Thread(s) per core: 1
> Core(s) per socket: 1
> Socket(s): 8
> Stepping: 0
> BogoMIPS: 5200.00
> Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 syscall nx pdpe1gb rdtscp lm rep_good nopl cpuid extd_apicid tsc_known_freq pni pclmulqd
> q ssse3 fma cx16 sse4_1 sse4_2 x2apic popcnt aes xsave avx f16c hypervisor lahf_lm svm abm sse4a misalignsse 3dnowprefetch xop fma4 tbm vmmcall arat npt nrip_save
> Virtualization features:
> Virtualization: AMD-V
> Hypervisor vendor: KVM
> Virtualization type: full
> Caches (sum of all):
> L1d: 512 KiB (8 instances)
> L1i: 512 KiB (8 instances)
> L2: 4 MiB (8 instances)
> L3: 128 MiB (8 instances)
> NUMA:
> NUMA node(s): 1
> NUMA node0 CPU(s): 0-7
>

it is a Vritual with ubuntu 22.04

`$ uname -a`
Linux trying-to-train-llama2 5.15.0-46-generic #49-Ubuntu SMP Thu Aug 4 18:03:25 UTC 2022 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

$ g++ --version
g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0

```