Local LLM Autocomplete and Agentic Coding on a Single 16GB GPU + 64GB RAM

Local LLM autocomplete + agentic coding on a single 16GB GPU + 64GB RAM

Reddit user grumd runs Qwen2.5-Coder-7B Q6 for autocomplete and Qwen3.6-35B-A3B Q8 for agentic coding on one RTX 5080 with RAM offloading; the post reports about 145k context, 56GB RAM used with other apps open, and Qwen3.6-35B-A3B speed of tg128 at 35.29 tokens/s.

Why it matters: HKR-H/K/R all pass: a named first-person local coding experiment with concrete model, quantization, context, and throughput data. Source is a single Reddit post without replication or comparisons, so it stays in the low featured band.