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Developer tests Qwen 35B model on Mac for coding tasks, finds promise but struggles with context window limitations during multi-step debugging
r/LocalLLaMA · April 19, 2026
AI Summary
- •User running Qwen3.6-35B-A3B-UD-Q4_K_M on M2 MacBook Pro with 32GB RAM using llama.cpp and opencode for coding assistance
- •Model successfully identified bugs in a full-stack application task that Claude Opus 4.7 previously completed, but loses critical information during context compaction
- •Context window limited to 32,768 tokens to prevent memory exhaustion, forcing trade-offs between functionality and stability
- •Disabling subagents helps preserve task context through first compaction pass by reducing dual context usage, but second compaction pass causes significant information loss
- •Results are 'tantalizing' as model grasps problem essentials but struggles to proceed to implementation phase due to aggressive context management
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