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How I Used Gemma 4
We needed a model that could parse complex institutional intent, enforce strict rules, and run entirely on-premise. Gemma 4 26B fit all three.
It handles two core jobs in TSI Nexus:
Intent to command. When a field user types a natural language request, Gemma 4 maps it to an exact registered command verb like /disburse_loan or /verify_kyc. No guessing, no drift.
Policy evaluation. Before any command runs, Gemma 4 checks it against the live context and business rules from the Context Graph. It either approves, blocks, or flags for escalation.
We run Gemma 4 26B locally, so data stays fully on-premise, which is non-negotiable for institutional use cases. Gemma 4's instruction-following is what made this practical - earlier models would hallucinate field values or misroute commands. Gemma 4 holds the structure consistently, which matters when commands touch real business operations.
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