{"version": "https://jsonfeed.org/version/1", "title": "/dev/posts/ - Tag index - llama.cpp", "home_page_url": "https://www.gabriel.urdhr.fr", "feed_url": "/tags/llama.cpp/feed.json", "items": [{"id": "http://www.gabriel.urdhr.fr/2026/07/16/llama-quickstart/", "title": "llama.cpp quickstart (part 2)", "url": "https://www.gabriel.urdhr.fr/2026/07/16/llama-quickstart/", "date_published": "2026-07-16T00:00:00+02:00", "date_modified": "2026-07-16T00:00:00+02:00", "tags": ["computer", "machine-learning", "deep-learning", "language-model", "neural-networks", "LLM", "llama.cpp"], "content_html": "<p>How to quickly use llama.cpp for LLM inference (part 2).\nThis is a follow-up of <a href=\"https://www.gabriel.urdhr.fr/2025/05/14/llama.cpp-quickstart/\">a previous post on the same topic</a>.</p>\n"}, {"id": "http://www.gabriel.urdhr.fr/2025/05/14/llama.cpp-quickstart/", "title": "llama.cpp quickstart", "url": "https://www.gabriel.urdhr.fr/2025/05/14/llama.cpp-quickstart/", "date_published": "2025-05-14T23:12:16+02:00", "date_modified": "2026-06-16T23:23:53+02:00", "tags": ["computer", "machine-learning", "deep-learning", "language-model", "neural-networks", "LLM", "llama.cpp"], "content_html": "<p>How to quickly use llama.cpp for LLM inference (no GPU needed).</p>\n"}]}