AQLM quantization takes considerably longer to calibrate than simpler quantization methods such as GPTQ. This only impacts quantization time, not inference time ...

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13 мар. 2024 г. · AQLM is a new weight-only post-training quantization (PTQ) algorithm that sets a new state-of-the-art for the 2 bit-per-parameter range.

6 февр. 2024 г. · The proposed AQLM quantization method allows for large freedom in the choice of quantization lattice and ability to represent different weight ...

Additive Quantization of Language Models (AQLM) is a Large Language Models compression method. It quantizes multiple weights together and takes advantage of ...

7 февр. 2024 г. · AQLM represents groups of 8-16 weights as a sum of multiple vector codes. The main complexity is finding the best combination of codes so that ... What happened to AQLM? : r/LocalLLaMA - Reddit Bringing 2bit LLMs to production: new AQLM models ... - Reddit Другие результаты с сайта www.reddit.com

11 янв. 2024 г. · Our algorithm, called AQLM, generalizes the classic Additive Quantization (AQ) approach for information retrieval to advance the state-of-the- ...

AQLM is a Large Language Models compression method. It quantizes multiple weights together and takes advantage of interdependencies between them.

15 мар. 2024 г. · AQLM presents a groundbreaking solution for extreme LLM compression. It achieves this by compressing model parameters to a mere 2 bits per ...

Quantization. Supported Hardware for Quantization Kernels · AutoAWQ ... AQLM-2Bit-1x16-hf", 29 "ISTA-DASLab/Llama-2-7b-AQLM-2Bit-2x8-hf", 30 "ISTA-DASLab ...