Ternary-Bonsai-27B is a highly quantized 27 billion parameter language model provided in GGUF format for use with llama.cpp and compatible runtimes. It uses ternary (2-bit) weights and hybrid attention mechanisms to enable efficient on-device and local inference. The model is optimized for low-resource environments while maintaining conversational capabilities.
Ternary Bonsai 27B sits in PulseGate's Foundation models & chat category. It focuses on running large language models efficiently on consumer hardware with extreme quantization. It is built as an open-source project for developers. Ternary Bonsai 27B is open source under the Apache-2.0 license. It runs on the command line.
Behind Ternary Bonsai 27B is Prism ML, and the product first shipped in 2026. Development happens publicly on GitHub with 1.9k stars and 25 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 5 similar tools. Key capabilities include ternary quantization, on-device inference, and hybrid attention.
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