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OSCAR: 2-bit KV Cache Quantization Technique Released

·2026.06.10 04:00

Key point

OSCAR, a technique using spectral covariance-aware rotation to reduce quantization loss in KV Cache, has been released.

Details

OSCAR (RotationZoo), a 2-bit KV Cache quantization technique for improving LLM inference efficiency, has been announced. This technique uses the Offline Spectral Covariance-Aware Rotation method to minimize the information loss that occurs during quantization.

Key features and provided resources:

  • Supported models: INT2 KV quantization weights provided for various models including Gemma-4-12B-it, Qwen3-32B, Qwen3-4B-Thinking
  • Framework support: Includes code usable in llama.cpp and sglang environments
  • Technical basis: The related research paper has been published on arXiv, supporting the technical validity
quantizationllama-cppkv-cachesglangllm-inferenceoscar
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