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[r/ML] [P] TurboQuant for weights: near‑optimal 4‑bit LLM quantization with lossless 8‑bit residual – 3.2× memory savings

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Summary

TurboQuant, an algorithm previously used for KV-cache quantization, has been adapted for LLM weight compression, offering a near-optimal 4-bit quantization with a lossless 8-bit residual. This method achieves significant memory savings of 3.2x while maintaining baseline performance, as demonstrated by a 4+4 residual configuration matching bf16's PPL on benchmarks. It provides a drop-in replacement for `nn.Linear`, making LLMs more efficient and accessible.

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