llama_cpp/lib/libllama.so: undefined symbol: llama_kv_cache_view_init

# Prerequisites

**Just built with Python12 in fresh .venv**

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

from llama_cpp import Llama
(success!)

# Current Behavior

from llama_cpp import Llama
Traceback (most recent call last):
File "", line 1, in
File "/home/k/Downloads/src/chatterbox/.venv/lib64/python3.12/site-packages/llama_cpp/__init__.py", line 1, in
from .llama_cpp import *
File "/home/k/Downloads/src/chatterbox/.venv/lib64/python3.12/site-packages/llama_cpp/llama_cpp.py", line 1824, in
@ctypes_function(
^^^^^^^^^^^^^^^^
File "/home/k/Downloads/src/chatterbox/.venv/lib64/python3.12/site-packages/llama_cpp/_ctypes_extensions.py", line 113, in decorator
func = getattr(lib, name)
^^^^^^^^^^^^^^^^^^
File "/usr/lib64/python3.12/ctypes/__init__.py", line 392, in __getattr__
func = self.__getitem__(name)
^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib64/python3.12/ctypes/__init__.py", line 397, in __getitem__
func = self._FuncPtr((name_or_ordinal, self))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: /home/k/Downloads/src/chatterbox/.venv/lib64/python3.12/site-packages/llama_cpp/lib/libllama.so: undefined symbol: llama_kv_cache_view_init
>>>

# Environment and Context

$ sysinfo
CPU: quad core Intel Core i7-2860QM (-MT MCP-) speed/min/max: 912/800/3600 MHz
Kernel: 6.14.8-300.fc42.x86_64 x86_64 Up: 1d 12h 46m
Mem: 5.05/31.29 GiB (16.1%) Storage: 1.86 TiB (30.5% used) Procs: 376
Shell: Bash inxi: 3.3.38
Graphics:
Device-1: NVIDIA GM204GLM [Quadro M3000M] driver: nvidia v: 570.153.02
Display: x11 server: X.Org v: 21.1.16 with: Xwayland v: 24.1.6 driver: X:
loaded: nvidia gpu: nvidia,nvidia-nvswitch resolution: 1: 1920x1080~60Hz
2: 1920x1080~60Hz 3: 1366x768~60Hz
API: OpenGL v: 4.6.0 vendor: nvidia v: 570.153.02
renderer: Quadro M3000M/PCIe/SSE2
API: EGL Message: EGL data requires eglinfo. Check --recommends.
Info: Tools: api: glxinfo de: kscreen-doctor
gpu: nvidia-settings,nvidia-smi wl: kanshi,wlr-randr x11: xdriinfo,
xdpyinfo, xprop, xrandr

* Operating System, e.g. for Linux: **Fedora 42**

`$ uname -a`

Linux k 6.14.8-300.fc42.x86_64 #1 SMP PREEMPT_DYNAMIC Thu May 22 19:26:02 UTC 2025 x86_64 GNU/Linux

* SDK version, e.g. for Linux:

```
$ python3 --version
Python 3.12.10

$ make --version
GNU Make 4.4.1
$ g++ --version
g++-13 (GCC) 13.3.1 20240611 (Red Hat 13.3.1-2)

```

# Failure Information (for bugs)

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.

git pull
git submodule update --remote vendor/llama.cpp
CC=gcc-13 CXX=g++-13 FORCE_CMAKE=1 CMAKE_BUILD_PARALLEL_LEVEL=7 \
CMAKE_ARGS="-DGGML_CUDA=on \
-DCMAKE_CUDA_FLAGS_RELEASE=-Wno-deprecated-gpu-targets \
-DLLAVA_BUILD=OFF" \
pip install .[server] --upgrade --force-reinstall --no-cache-dir

**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)

llama-cli -ngl 20 -m deepseek-r1-0528-qwen3-8b-q2_k.gguf -i
Hi there

My name is deepseek-r1. How can I help you?
```