llama-cpp-bin
Pre-built llama.cpp server binaries as a py package. Install a wheel for your platform and run it.
Install
Pre-built wheels (recommended)
pip install --index-url https://vladlearns.github.io/llama-cpp-bin/whl/cpu llama-cpp-bin
pip install --index-url https://vladlearns.github.io/llama-cpp-bin/whl/cu124 llama-cpp-bin
pip install --index-url https://vladlearns.github.io/llama-cpp-bin/whl/cu131 llama-cpp-bin
pip install --index-url https://vladlearns.github.io/llama-cpp-bin/whl/rocm llama-cpp-bin
pip install --index-url https://vladlearns.github.io/llama-cpp-bin/whl/vulkan llama-cpp-bin
Pin to a specific version:
pip install --index-url https://vladlearns.github.io/llama-cpp-bin/whl/cu124 llama-cpp-bin==9095.0.0
PyPI (builds from source)
If no pre-built wheel matches your platform, pip falls back to building from the sdist on PyPI:
pip install llama-cpp-bin
You will need CMake, a c++ compiler, and the llama.cpp source submodule.
Dev
git clone --recurse-submodules https://github.com/vladlearns/llama-cpp-bin
cd llama-cpp-bin
CMAKE_ARGS="-DGGML_CUDA=ON" pip install -v .
Run
CLI:
llama-cpp-server -m your-model.gguf --port 8080
Python:
from llama_cpp_bin import run_server
proc = run_server("your-model.gguf", port=8080)
proc.wait()
Or get the binary path and run it yourself:
import llama_cpp_bin
import subprocess
binary = llama_cpp_bin.get_binary_path()
subprocess.Popen([binary, "--model", "your-model.gguf"])
1 maintainer
Release files for llama-cpp-bin 11046.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llama_cpp_bin-11046.0.0.tar.gz | 37.0 MB | Details |
Release files / llama_cpp_bin-11046.0.0.tar.gz
| Download URL | llama_cpp_bin-11046.0.0.tar.gz |
|---|---|
| Size | 37.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
67cf910b206e73f0da75bcf17187f20698c244261233c9fa67538da8c36163e0
|
|
BLAKE2b-256 checksum How to use checksums |
79a8397e65a4d0cdb232f7385dc71e121a56b08a4802d40d964f598068c64da6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 19, 2026.
Transparency log
