{"slug": "installed-llama-1-0-0", "title": "Installed Llama 1.0.0", "summary": "A developer who had spent about 20 minutes compiling llama-cpp for each local LLM run over roughly a year installed the pre-built Llama 1.0.0 package, released a few days earlier, and got the inference server running on the first attempt. The install adds a `llama` command to the terminal, letting the developer launch `llama serve` with inference-server arguments and immediately run the Ternary-Bonsai-2-2B-Q2_0.gguf model alongside an MCP server. The developer argues local inference will eventually replace AI subscriptions from companies like OpenAI and Anthropic, citing privacy and the saved network round-trip, while cautioning that hardware needs a few years to improve and become more affordable.", "body_md": "I have been **compiling** `llama-cpp` to run LLMs locally for about a year. This took about **20 minutes** each time because I could not run it on multiple threads because my GPU does not have enough memory. Today I decided to download the pre-built **Llama** package for version 1.0.0, which was released a few days ago.\n\nThis **installs** the `llama` command in the terminal, so you can run `llama serve` and then the arguments for the inference server. Everything worked perfectly the first time, and I had `Ternary-Bonsai-2-2B-Q2_0.gguf` running right away, complete with my MCP server.\n\nI feel like **Llama** (`llama-cpp`) will eventually **replace AI subscriptions** and companies like OpenAI and Anthropic. It will take a few years for hardware to improve, and become more affordable (I don't recommend buying any expensive computer equipment right now). With local inference, you get privacy, and save a network round-trip—so it will eventually be faster to run Llama than to use an online service.", "url": "https://wpnews.pro/news/installed-llama-1-0-0", "canonical_source": "https://www.dotnetperls.com/2026_11_15_installed-llama-1-0-0", "published_at": "2026-11-15 07:00:00+00:00", "updated_at": "2026-11-15 14:51:15.686329+00:00", "lang": "en", "topics": ["ai-tools", "large-language-models", "ai-infrastructure", "agent-protocols"], "entities": ["Llama", "llama-cpp", "Ternary-Bonsai-2-2B-Q2_0.gguf", "OpenAI", "Anthropic", "MCP"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/installed-llama-1-0-0", "markdown": "https://wpnews.pro/news/installed-llama-1-0-0.md", "text": "https://wpnews.pro/news/installed-llama-1-0-0.txt", "jsonld": "https://wpnews.pro/news/installed-llama-1-0-0.jsonld"}}