how to use codex with local model (gemma 4)

<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I taught Computer Science for 30 years in a French School of Electrical Engineering, Computer Science Department.</p> <p>I recently

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sarlb8/gemma_4_running_on_raspberry_pi5/"> <img alt="Gemma 4 running on Raspberry Pi5"

<!-- SC_OFF --><div class="md"><p>so today I tried the Obsidian LLM wiki system by Karparthy, but with Gemma 4 locally in OpenCode with instead of Claude code. </p> <p>My

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1srhtvg/where_we_are_in_a_year_everything_has_changed/"> <img alt="Where we are. In a year, everything has

<!-- SC_OFF --><div class="md"><p>so as it says, I am not a FE eng, but want to do some light FE work<br /> I don't need the smartest model but need to get some work done.<br /> I

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF">https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF</a></p> <p><a

<!-- SC_OFF --><div class="md"><p>I have experience using llama.cpp on Windows/Linux with 8GB NVIDIA card (384 GB/s bandwidth) and offloading to CPU to run MoE models. I typically

<!-- SC_OFF --><div class="md"><p>Built an Ansible playbook to turn AMD Strix Halo machines into local AI inference servers</p> <p>Hey all, I've been running local LLMs on my