<!-- SC_OFF --><div class="md"><p>i’m using Roo Code with LM Studio as the provider, mostly with Qwen 3.5 27B and 35B local models, and i keep getting random API errors during
<!-- SC_OFF --><div class="md"><p>How do you guys deal with long context, for example while coding, when you’re going back and forth for adjustments or fixing some errors and
<!-- SC_OFF --><div class="md"><p>I’m using Cline in VS Code with a local LLM via an OpenAI-compatible endpoint (llama.cpp server).</p> <p>Is there any way to increase or modify
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tbzr64/qwen36_just_stops/"> <img alt="qwen3.6 just stops"
<!-- 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>Are local 4B models usable on smartphone?</p> <p>Just did a vibe check on a Pixel Pro 10, Gemma 4B vs Qwen 3.5 4B, starting from handheld photos
<!-- SC_OFF --><div class="md"><p>Tomorrow, I am getting delivery of a 13" M5 macbook air with 32gb RAM and 1T SSD. Currently, I have pro subscriptions to Gemini, Perplexity
<!-- SC_OFF --><div class="md"><p>I need SOTA ai at like 2k TPS with tiny latency so that I can get time to first answer token under 3 seconds for real time replies with full COT
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