AI/ML●●●Banger
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.
Big BrainZero to OneWizardry
PrismML
4301532mo ago
Back to browse
Ternary Bonsai, delivering top intelligence at 1.58 bits
by bansaltushar92·Apr 16, 2026·3 points·0 comments
AI Analysis
●MidBold Bet
Ternary weight quantization claims are bold, but where's the code or paper?
Strengths
- •1.58-bit ternary weights would be genuinely useful for edge deployment if verified.
- •Apache 2.0 licensing means models can be used commercially without restrictions.
Weaknesses
- •Show HN post is just a Twitter screenshot with no code, paper, or demo.
- •Benchmark claims can't be verified without reproducible results or technical details.
Category
Target Audience
ML engineers and researchers interested in model quantization
Similar To
bitsandbytes · AWQ · GPTQ
Similar Projects
AI/ML●●Solid
Local LLM on a Pi 4 controlling hardware via tool calling
Bonsai 1-bit models make Pi 4 LLMs viable where Ollama usually chokes.
Niche GemCozy
stfurkan
372mo ago
AI/ML●●●Banger
Bonsai 1.7B ternary model at 442T/s on M4 Max
Autonomous agent wrote custom Metal kernels boosting decode speed 42% over upstream llama.cpp.
WizardryDark Horse
hhuytho
1331mo ago
AI/ML●●Solid
Efficient LLM Architectures for 32GB RAM (Ternary and Sparse Inference)
Native ternary training beats post-training quantization for memory efficiency.
Big BrainBold Bet
fatihturker
213mo ago
AI/ML●●●Banger
BitTank – 1.58-bit neural networks in 30 KB of vanilla JavaScript
1.58-bit ternary neural networks in 30 KB of vanilla JavaScript — no dependencies.
WizardryZero to One
panayman
202mo ago
Security●●Solid
LLM-Audit – Semgrep Rules for OWASP LLM Top in TypeScript
Fills the TypeScript gap that Semgrep's official AI best practices pack misses.
Niche Gem
Javierlozo
101mo ago