The identifier appears to be a specific internal variable or versioning tag related to SpQR (Sparse-Quantized Representation) , a state-of-the-art technique for compressing Large Language Models (LLMs) like LLaMA and Falcon to near-lossless levels.
The SpQR framework, as detailed in the ICLR Proceedings , operates through a multi-step process: SPQR.SPQRAlive.18.var
: Pre-defined sparsity levels (e.g., 1% outliers) to ensure predictable memory usage. The identifier appears to be a specific internal
: It enables models like LLaMA-65B to fit on a single 24GB or 32GB GPU while maintaining performance. : It uses a Hessian-based regularizer to identify
: It uses a Hessian-based regularizer to identify which weights are most sensitive to quantization.
: Despite the hybrid structure, optimized kernels allow for faster inference compared to uncompressed models due to reduced memory bandwidth bottlenecks. 4. Implementation (SPQRAlive.18.var)
: These sensitive weights (usually less than 1% of the total) are extracted and stored in their original 16-bit precision.