AI/ML●●●Banger
3.125-Bit LLM quantization bypassing tensor cores
Replaces Tensor Cores with LUTs and bitwise ops for 3-bit edge inference.
Big BrainBold Bet
dmaniss
3024d ago
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1-Bit Bonsai, the First Commercially Viable 1-Bit LLMs
by PrismML·Mar 31, 2026·430 points·153 comments
AI Analysis
●●●BangerBig BrainZero to OneWizardry
1-bit weights matching 8B model performance while running 132 tokens/sec on M4 Pro.
Strengths
- •Genuine 1-bit quantization with Caltech research backing, not just marketing.
- •Concrete benchmarks: 1.15GB memory footprint, 5× energy reduction verified.
- •Three model sizes (8B, 4B, 1.7B) targeting different edge deployment scenarios.
Weaknesses
- •No actual model weights downloadable yet — just a landing page with claims.
- •1-bit LLM research exists (BitNet), so not zero-to-one despite the pitch.
Category
Target Audience
ML engineers, edge AI developers, robotics teams
Similar To
BitNet · Microsoft BitNet b1.58 · LLM.int8()
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