A user tested a 1.8 billion parameter local model, Qwen 1.8B, using the Ollama platform for six n8n AI workflows. Across 192 runs, the model consistently produced valid JSON, but struggled with the accuracy and logic of its content. Failures included misclassifying lead quality scores and tiers, and incorrectly extracting information from documents, such as assuming US date formats and fabricating invoice numbers. While a validation guard caught some errors, it could not fully compensate for the model's inherent limitations in understanding context or adhering to specific instructions. AI
IMPACT Highlights limitations of smaller local models for complex tasks, emphasizing the need for validation layers.
RANK_REASON User testing of a specific local model's performance in practical applications.
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