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Qwen3.8-27B GSQ-RCO GGUF

All digests tagged Qwen3.8-27B GSQ-RCO GGUF

Lecture 118: GSQ-RCO: Better Non-Uniform GGUF Quantization

GSQ and RCO are complementary methods for accurate low-bit LLM quantization. GSQ uses Gumbel-Softmax sampling for stochastic optimization, while RCO uses Riemannian optimization to allocate precision across a model under a fixed size budget.

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GSQ-RCO: Better Non-Uniform GGUF Quantization

GSQ and RCO are complementary methods for accurate low-bit LLM quantization. GSQ uses Gumbel-Softmax sampling for stochastic optimization, while RCO optimizes bit allocation under fixed size budgets, enabling state-of-the-art model compression.

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