Tag: 1-bit weight quantization
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int4 KV Cache Beats fp16 on Apple Silicon: Faster AI Performance
Discover how int4 KV cache outperforms fp16 on Apple Silicon, boosting AI model speed and efficiency with minimal quality loss and advanced quantization.
TurboQuant vs EDEN: Key Insights on Quantization Methods
Explore how TurboQuant compares to the earlier EDEN and DRIVE quantization methods, highlighting strengths, weaknesses, and performance insights.
Vanishing Contributions: Smooth Iterative Model Compression
Discover VCON, a unified framework enabling smooth, iterative model compression to boost DNN accuracy and stability across applications.
BWLA: Efficient 1-Bit Weight Quantization for LLMs
Discover BWLA, a breakthrough post-training quantization method that boosts LLM speed and accuracy using 1-bit weights and low-bit activations.