We describe a compact but fully open-source system submitted to PolEval 2025 Task 2 (Gender-inclusive LLMs for Polish), subtask B: IPIS-translation. The goal of this subtask is gender-sensitive Polish↔English translation, including the production of gender-inclusive Polish outputs that follow specific orthographic conventions such as gender stars and slash forms. Our method performs instruction tuning of the Polish LLM Bielik-7B-Instruct using parameter-efficient LoRA adapters, with optional 4-bit NF4 quantization for single-GPU training. Samples from the Inclusive Polish Instruction Set (IPIS) are converted into a chat-style format with a task-provided gender-inclusive system prompt. Despite a deliberately lightweight tuning budget and greedy decoding, our submission placed 3rd on the hidden test B split, achieving bleu_pe = 20.7871. We detail the training and inference pipeline, discuss design choices and limitations, and outline directions for improving inclusive translation quality in Polish.