lunahr/Phi-4-mini-instruct-abliterated is a 3.8 billion parameter instruction-tuned decoder-only Transformer model, based on the Microsoft Phi-4 model family. It is built upon synthetic data and filtered public websites, with a focus on high-quality, reasoning-dense data. This model excels in memory/compute constrained environments and latency-bound scenarios, offering strong reasoning capabilities, particularly in math and logic.
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