1-Bit Kimi K3 Quant Cuts 2.8T Model to 590GB, Keeps 78.7% Quality
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Atomic Labs' 1-bit quant shrinks 2.8T Kimi K3 to 590GB (-62%), keeping 78.7% quality and 1M context. Runs on 4x B200s. Atomic Labs' 1-bit quantization shrinks Kimi K3's 2.8T parameters to 590GB, a 62% reduction. The model retains 78.7% quality and full 1M context, per @rohanpaul_ai's report . Key facts 590GB footprint: 62% reduction from original 2.8T parameters 78.7% quality retention at 1-bit precision 87.2% agreement at 2.1 bits, 769GB size Full 1M token context preserved at 1-bit Runs on 4x…
1Key Takeaways
- Atomic Labs' 1-bit quant shrinks 2.8T Kimi K3 to 590GB (-62%), keeping 78.7% quality and 1M context.
- Atomic Labs' 1-bit quantization shrinks Kimi K3's 2.8T parameters to 590GB, a 62% reduction.
- The model retains 78.7% quality and full 1M context, per @rohanpaul_ai's report .
- Key facts 590GB footprint: 62% reduction from original 2.8T parameters 78.7% quality retention at 1-bit precision 87.2% agreement at 2.1 bits, 769GB size Full 1M token context preserved at 1-bit Runs on 4x….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that atomic Labs' 1-bit quant shrinks 2.8T Kimi K3 to 590GB (-62%), keeping 78.7% quality and 1M context.
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