Inconsistent AI model behavior traced to chat template mismatches

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AI models running locally sometimes produce incorrect outputs, such as generating beyond responses or ignoring instructions, while the same models function correctly through hosted APIs. This discrepancy is usually caused by chat template issues or token metadata errors in GGUF files. Instruction-tuned models are trained on specific conversation formats, and deviations from these formats during inference degrade performance. The problem typically originates in how different software engines implement template rendering rather than the model weights themselves, and can be fixed by correcting the template setup.

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