DiDi-Merging achieves dynamic model merging performance matching or exceeding prior methods while using only 1.24x to 1.4x the parameters of a single fine-tuned model.
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SkillWeave partitions LLM capabilities into compressible skillpacks to deliver strong multi-domain performance with a 9B model that outperforms larger monolithic LLMs and achieves up to 4x speedup on benchmarks.
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Dynamic Model Merging Made Slim
DiDi-Merging achieves dynamic model merging performance matching or exceeding prior methods while using only 1.24x to 1.4x the parameters of a single fine-tuned model.
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Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
SkillWeave partitions LLM capabilities into compressible skillpacks to deliver strong multi-domain performance with a 9B model that outperforms larger monolithic LLMs and achieves up to 4x speedup on benchmarks.