A user is experiencing issues with the Qwen 3.6 27B model running locally, specifically with its ability to maintain context over long tasks. The model, when used with openCode and the "oh my openagent" harness, tends to forget instructions, misinterpret directives (e.g., turning a compression instruction into a fixed percentage), and delegate tasks to incorrect agents. The user has tried various quantization levels and context sizes, and is seeking advice on how to resolve these memory and instruction-following problems. AI
IMPACT Highlights potential limitations in context retention and instruction following for locally run large language models.
RANK_REASON User reporting issues with a specific model and tool configuration.
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