Oobabooga with opencode

<!-- SC_OFF --><div class="md"><p>I'm having serious issues with opencode and my local model, qwen3.5 is a very capable model but following the instructions to run it with

<!-- SC_OFF --><div class="md"><p>I’m using OpenCode with a local Qwen3.6-27B Q6_K GGUF model on an RTX 5090 with KV cache in Q8.<br /> For reference my llama.cpp build is

<!-- SC_OFF --><div class="md"><p>I'm tired of copy &amp; pasting code. What should I try and why?<br /> Which is faster / easier to install?<br /> Which is easier to use?<br />

<!-- SC_OFF --><div class="md"><p>Unfortunately OpenCode didn't have a stock way to add a model from a vLLM server until today, so made a small script for a one-line refresh of

<!-- SC_OFF --><div class="md"><p>Long post, but hopefully helps somebody. Llama-cpp vulkan server running single AMD R9700. The settings below are showing great results with a

<!-- SC_OFF --><div class="md"><p>Tool calling kept failing with Qwen 3.5. I had this Jinja template generated and it seemed to fix it for me in LM Studio.</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>I wanted to try installing a simple small model like nemotron-3-nano:4b from ollama and try it for simple quick fixes offline without burning