Show HN: Bonsai 1.7B ternary model at 442T/s on M4 Max

Category: infrastructure

Tags: llm-inference, c-plus-plus, quantization

Score: 8.3/10 (Innovation: 6, Technical: 9, Documentation: 9, Utility: 9)

llama.cpp is a high-performance C/C++ inference engine for large language models, optimized for local execution on diverse hardware including Apple Silicon and GPUs. It supports an extensive range of models and quantization techniques, making it a foundational tool for on-device AI. The project's combination of efficiency, broad model support, and active development gives it exceptional utility for the open-source LLM ecosystem.

Target audience: backend devs, data engineers, devops, ai-researchers

Repository: https://agents2agents.ai/bonsai · C++ · MIT · 108900 stars

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