RTX 3090 runs 27B Qwen at 150k context with DeepSeek harness, results amaze
politefella0 · reddit · 2026-08-25
A Reddit user shares hands-on results with syv-ai/qwen38-27b-rtx3090: on a single RTX 3090 with vision enabled, they ran 150k context with excellent results, even having local Qwen write a Gmail plugin for the DeepSeek harness. A search-engine plugin attempt broke dsh and made the harness unlaunchable.
Run stats: 26 turns / 489 steps, 161m LLM time, 10m tool calls, 5.9s avg TTFT, 86 tok/s, 0% cache hit, 35.7M input / 586K output tokens.
More from coding & agent
- AI software factories hinge on the Factory Loop, not faster code generation — Pavan_Belagatti · 2026-10-16
- 'Dropping a 3,000-line PR twenty minutes after ticket assignment' — AI coding meme goes viral — facontidavide · 2026-10-16
- Self Labs launches Agent Vault to let AI agents log in and pay with credit cards — EXM7777 · 2026-10-16
- Plane Agents: triggers, not prompts, are what turn chatbots into workflow agents — JosephJacks_ · 2026-10-16
- Claude eng lead Felix Rieseberg publishes tutorial on being more ambitious with AI — danshipper · 2026-10-16
- Qwen Code Desktop v0.25.2 ships managed-agent fixes and MCP config repair — github-actions[bot] · 2026-10-16