I built an agent Harness for Small Models. I got Qwen 3.5 4b managing servers.

<!-- SC_OFF --><div class="md"><p>I read the latest Anthropic blog post with great interest. How can I setup a similar harness?</p> <p><a

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I recently started working in controlling and I’m currently going through the typical learning curve: understanding complex

<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC

<!-- SC_OFF --><div class="md"><p>One thing we’ve been noticing lately is that a surprisingly large percentage of day-to-day AI workflows no longer seem to require frontier-scale

<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>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

<a href="https://news.ycombinator.com/item?id=50151390">Comments</a>

<!-- SC_OFF --><div class="md"><p>I'm using this <a href="https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF">opus 4.6 distilled version of