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The article reports that infinite thinking loops in Laguna S 2.1 AI model are likely caused by quantization artifacts. Switching to an MoE-aware APEX quant (e.g., Myric/Laguna-S-2.1-APEX-GGUF) and using default sampling settings (temp 0.7, top_p 0.95, top_k 20) resolved the looping for most cases. Additionally, framing prompts around tool calls can prevent overthinking.
User benchmarks the APEX quantized version of Gemma4 26B A4B model on AMD RX 9060 XT, achieving 38 tps at 90k context with no quality degradation, finding it better than previous quantizations.