[KongchangAI]
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Phi-4-mini

Timeline (last 90 days)

Oct 14

The repository is based on the paper 'The Pain Axis: LLMs Represent Self-Directed Harm and Act on It' and uses small open-source models (Qwen3, Llama 3.2, Phi-4-mini) for experiments.

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Oct 13

In the scenario where 16 requests each carry a 3,072-token long prompt, Gemma 4 E2B maintains 1049 tokens/second, while Granite 3.3 2B drops to 732 (0.70x), SmolLM3-3B drops to 725 (0.69x), Phi-4-mini drops to 404 (0.39x), and Qwen3-4B reaches only 373 (0.36x).

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