The author argues that upgrading from a single to dual GPU offers greater benefits through parallel processing rather than enabling the use of larger, higher-quality model quantizations. For coding tasks, the quality difference between Q4 and Q6/Q8 quantizations is minimal, making increased context window and throughput more valuable.
- The setup uses a Qwen 27B model as an orchestrator with extensive context to manage split subtasks.
- Subagents, such as Qwen 35B-A3B, handle narrow tasks within their 115k context limits and report back before terminating.
- This architecture allows three agents to run in parallel, significantly increasing overall throughput compared to a single model.
- The system avoids frequent model unloading and compaction by keeping subagents active for specific, well-defined tasks.
This approach provides more practical value than attempting to run large 100B+ models on inadequate hardware, reserving SOTA closed models only for occasional expert reviews.