{"version":"1.0","type":"card","id":"ac6659b1-f6a3-46eb-828d-b0dcc0daee63","url":"https://stacklist.com/card/ac6659b1-f6a3-46eb-828d-b0dcc0daee63","title":"Best Local LLMs for Consumer GPUs — llama.cpp Guide","source_url":"https://x.com/traffalex/status/2066236717015728227","note":"This page provides a guide on the best local LLMs that can run on consumer GPUs using llama.cpp. It details models that can operate without Docker, Python environments, or cloud services, specifically for hardware with 8-16GB VRAM.","image":{"url":"https://ucarecdn.com/83d70e41-bdff-4f6b-8456-70904af20187/","alt":"Best Local LLMs for Consumer GPUs — llama.cpp Guide","width":200,"height":200},"stack":{"id":"4aae218c-38d7-4c05-b7ae-f2db0029a2e8","title":"Local AI & GPUs","url":"https://stacklist.com/stack/4aae218c-38d7-4c05-b7ae-f2db0029a2e8"},"created_at":"2026-06-16T02:35:15.170Z","updated_at":null,"aco":null,"_links":{"self":"/api/public/card/ac6659b1-f6a3-46eb-828d-b0dcc0daee63.json","html":"https://stacklist.com/card/ac6659b1-f6a3-46eb-828d-b0dcc0daee63","md":"/api/public/card/ac6659b1-f6a3-46eb-828d-b0dcc0daee63.md","stack_json":"/api/public/stack/4aae218c-38d7-4c05-b7ae-f2db0029a2e8.json"}}