small cli REPL for interacting with apple foundation model on macOS

<!-- SC_OFF --><div class="md"><p>Repo: <a href="https://github.com/srv1n/rzn-apple">https://github.com/srv1n/rzn-apple</a>. </p> <p>It’s a small Swift CLI binary that exposes

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s2e0d5/built_an_opensource_llm_router_for_consumer_gpus/"> <img alt="Built an open-source LLM router for

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1thkwgk/bytedance_released_an_open_source_model_that/"> <img alt="bytedance released an open source model

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tc5wx1/dramabox_most_expressive_voice_model_ever_based/"> <img alt="DramaBox - Most Expressive Voice model

<!-- SC_OFF --><div class="md"><p>Trying to auto categorize a former employees photos from personal and work related. It’s a lot of photos and I don’t want the guy to loose

<!-- 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>I am amazed by the development of locallm in the coding area. Right now im Testing Qwen3.6 27b and it works quite well, even tho this is not made

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane