1-Bit Bonsai, the First Commercially Viable 1-Bit LLMs
1-bit weights matching 8B model performance while running 132 tokens/sec on M4 Pro.
Bonsai 1-bit models make Pi 4 LLMs viable where Ollama usually chokes.
Home lab enthusiasts and hardware hackers
Ollama · llama.cpp · Home Assistant
1-bit weights matching 8B model performance while running 132 tokens/sec on M4 Pro.
Ternary weight quantization claims are bold, but where's the code or paper?
Kalman filter + PID controller + Smith predictor prevents OOM crashes during edge LLM training.
Control theory for LLM agents beats budget caps at diagnosing why tasks fail.
Lifecycle-aware security pipeline, not point tools—shared context from ingress through output.
Subsumption Architecture revival cuts LLM calls with pattern cache misses.