2026/5/14 -This package version was published on May 14 . To provide a description, add the following line to your Dockerfile: LABEL org.opencontainers.image.description ...
2026/5/18 -Here's a quick guide to build your own image, for future reference. I, too, follow their versions page for cuda releases, https://github.com/ggml-org/llama.cpp/ ...
2026/2/8 -llama.cpp in Docker gives you a lightweight, portable way to run LLM inference without depending on cloud APIs. CPU-only mode works well for development and low ...
2026/4/18 -This package version was published on Apr 18 . To provide a description, add the following line to your Dockerfile: LABEL org.opencontainers.image.description ...
2025/12/5 -The modified dockerfile can be found here llama.cpp Dockerfile for DGX Spark / GB10 · GitHub. So all steps to build a server container image: mkdir src cd src ...
2026/10/22 -This guide explains how to build Llama.cpp into a Docker container image for CPU and GPU systems and push the finished image to a container registry. By the end ...
2025/12/18 -The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud ...
2026/3/1 -The docker file here is pretty simple. We need to start from a base model of Debian, install some dependencies, and then download and compile llama.cpp. Here is ...
2026/4/30 -You probably need to update your driver to a version that supports CUDA 13.1. Two observations: The driver I have is the default in Ubuntu 24.04. It's ...
2026/7/30 -A flexible Docker Compose setup for running llama.cpp locally with support for both CPU and GPU (NVIDIA) acceleration. Run one or two models simultaneously with ...