The results generated are different from those produced by executing commands with the llama cpp library

# 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 running `DeepSeek-R1` on an `arm64` architecture with `llama-cpp-python` version 0.3.7, I expect the performance and results to be comparable to those achieved using the llama.cpp library.

# Current Behavior

When running the `DeepSeek-R1` model on an `arm64` architecture and calling the `create_chat_completion` function from the `llama-cpp-python` library's Llama module, the output differs from the results produced by the `./llama-cli` built using the llama.cpp library.

Details:
- The output from `create_chat_completion` does not include the `` tag.
- The responses tend to stop prematurely, not providing complete answers as expected.

# Environment and Context

* Physical (or virtual) hardware you are using:

- CPU: Cortex-A73 (aarch64 architecture)

* Operating System:

- Linux 20.04

* SDK version:

- Python: 3.8.10
- Make: 4.2.1
- G++: 9.4.0

* llama-cpp-python package version:

- 0.3.7

# Steps to Reproduce
1. **Install llama-cpp-python with specific CMake arguments:**

```shell
CMAKE_ARGS="-DGGML_NATIVE=OFF -DGGML_CROSS_COMPILE=ON" pip install llama-cpp-python
```
2. Invoke `create_chat_completion` to generate a response
```shell
def generate(self, prompt, top_k, temp):
output = self.llm.create_chat_completion(
prompt,
top_k=top_k,
temperature=temp,
max_tokens=self.max_tokens,
stop=["Q:", "\n"],
stream=self.stream,
)
return output
```

# usage phenomenon

The content following “You:” is my input question，the "Okay ....." is the answer, you can notice that the answer stop prematurely

```shell
You: To solve the system of equations x+y=20 and 2x+4y=56. what are the values of x and y？
Okay, so I have this system of equations to solve: x plus y equals 20, and 2x plus 4y equals 56. Hmm, let me see how to approach this. I remember that there are a couple of methods to solve systems like this, like substitution and elimination. Maybe I'll try substitution first since it's often straightforward.

INFO:root:Bot: Okay, so I have this system of equations to solve: x plus y equals 20, and 2x plus 4y equals 56. Hmm, let me see how to approach this. I remember that there are a couple of methods to solve systems like this, like substitution and elimination. Maybe I'll try substitution first since it's often straightforward.
INFO:root:llm generate time: 21.382812 s
```