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**Lythri** is a family of on-device language models built for emotional companionship. Instead of chasing math and coding scores, Lythri is trained to understand how people feel and to hold natural, multi-turn conversations, while staying small enough to run locally on a laptop or phone. Zero-shot comparison between Lythri-4B-A2B and Gemma 4 instruction-tuned baselines on three emotion benchmarks. Despite having only 2.3B active parameters, **Lythri-4B-A2B(4.6B, base on Gemma4-E2B-PT) comparable to Gemma4-E4B-IT(8B) on all three EQ benchmarks.** All benchmarks are evaluated with their official standard settings and in generative mode with chat template applied, reflecting real-world inference conditions. Think-tag outputs from model are stripped before answer extraction.

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This repository contains GGUF quantizations of Lythri-7B-A4B for use with llama.cpp and compatible apps. For model details, evaluation results and limitations, see the original model card. > **Note:** Lythri models are highly sensitive to quantization. We recommend using the highest-precision quantization your hardware allows. Lower-bit quantizations still work but are not recommended. To use a specific quantization, append its type to the repository name, for example `Lythri/Lythri-7B-A4B-GGUF:Q8_0`.

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