[Deployment Issue] Installation deadlock on Hugging Face Spaces (CPU): Wheels fail (musl/glibc mismatch) & Source builds timeout

System Info Platform: Hugging Face Spaces (Docker / CPU Basic Tier) Base Image: python:3.10-slim (Debian Bookworm) Goal: Deploy OpenAI-compatible server for a GGUF model. Description I am unable to deploy llama-cpp-python on a CPU-only Docker environment (Hugging Face Spaces). I have attempted three distinct installation methods, all of which fail. **Describe the solution you'd like** Is there a recommended Docker pattern for Debian-based CPU-only deployments that avoids the musl wheel issue but does not require a full source compilation? **Describe alternatives you've considered** Attempt 1: Pre-built Wheels (Architecture Mismatch) I attempted to install using the CPU-specific extra index URL to avoid compilation time. Dockerfile: ```FROM python:3.10-slim RUN apt-get update && apt-get install -y build-essential cmake gcc RUN pip install llama-cpp-python \ --prefer-binary \ --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu ``` Error: The installer pulls a wheel that requires musl, causing a runtime crash on Debian. ```OSError: libc.musl-x86_64.so.1: cannot open shared object file: No such file or directory``` Attempt 2: Official Docker Image I attempted to use the official image to avoid installation steps entirely. Dockerfile: ```FROM ghcr.io/abetlen/llama-cpp-python:latest...``` Error: The server fails to start, unable to load the shared library (likely due to GPU/CUDA dependencies in :latest or pathing issues). ```FileNotFoundError: Shared library with base name 'llama' not found``` Attempt 3: Build from Source I attempted to build from source to ensure correct architecture. Dockerfile: ```FROM python:3.10-slim ENV CMAKE_ARGS="-DGGML_CUDA=off" RUN pip install llama-cpp-python --no-cache-dir ``` Error: The build process hits the Hugging Face Spaces timeout limit (hard limit) during the wheel building phase. ```Building wheels for collected packages: llama-cpp-python Building wheel for llama-cpp-python (pyproject.toml): started ... [Process limits out / Times out]```