cyankiwi

The Optimization Layer for Large Language Models

Our Missions

We make large language models (LLMs) more accessible by helping developers reduce costs and overcome infrastructure limitations. We optimize LLMs to be up to 75% smaller while retaining over 99% of baseline performance, enabling leading LLMs to be deployed on smaller hardware, run faster, and serve more users.

Accessible Production-Grade LLMs

Alibaba Qwen3 Next Instruct FP16 model size is 162.7 GB while cyankiwi Qwen3 Next Instruct INT4 model size is only 49.2 GB.

cyankiwi reduces model size by up to 75% while incurring less than 1% performance degradation.

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