Dan Alistarh

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upvoted a paper 20 days ago

"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published 21 days ago • 44

authored a paper 20 days ago

"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published 21 days ago • 44

authored a paper about 1 month ago

EvoPress: Towards Optimal Dynamic Model Compression via Evolutionary Search

Paper • 2410.14649 • Published Oct 18 • 7

upvoted a paper 2 months ago

A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B

Paper • 2409.11055 • Published Sep 17 • 16

authored a paper 3 months ago

Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization

Paper • 2409.00492 • Published Aug 31 • 11

upvoted a collection 4 months ago

Llama 3.1 GPTQ, AWQ, and BNB Quants

Collection

Optimised Quants for high-throughput deployments! Compatible with Transformers, TGI & VLLM 🤗 • 9 items • Updated Sep 26 • 55

authored a paper 9 months ago

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Paper • 2210.17323 • Published Oct 31, 2022 • 8

authored 2 papers about 1 year ago

QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models

Paper • 2310.16795 • Published Oct 25, 2023 • 26

Scaling Laws for Sparsely-Connected Foundation Models

Paper • 2309.08520 • Published Sep 15, 2023 • 13