SmoothQuant

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  1. MIT HAN Lab
Рекомендации по теме
SmoothQuant 0:09:58

SmoothQuant

SmoothQuant: Migrate Activation 0:04:50

SmoothQuant: Migrate Activation Difficulty to Weights

SmoothQuant: Efficient & 0:03:54

SmoothQuant: Efficient & Accurate Quantization for Massive Language Models

CS104 SmoothQuant Final 0:02:02

CS104 SmoothQuant Final Presentation

Final Presentation CS104 0:14:38

Final Presentation CS104 SmoothQuant (15 Min)

SmoothQuant : Accurate 0:31:19

SmoothQuant : Accurate and Efficient Post Training Quantization for Large Langu

[IDSL Paper Review] 0:11:47

[IDSL Paper Review] SmoothQuant

AWQ for LLM 0:20:40

AWQ for LLM Quantization

05.09.2023 SmoothQuant: Accurate 0:35:30

05.09.2023 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Large Language Models 0:35:07

Large Language Models Post Training Quantization(smoothQuant, RPTQ)

Efficient LLM Deployment 1:09:14

Efficient LLM Deployment at the Edge Through Quantization

12 Mind-Blowing LLM 0:01:21

12 Mind-Blowing LLM Deployment Techniques Revolutionizing AI

ChatGPT in your 0:45:23

ChatGPT in your pocket? Quantization in LLMs

Deep Dive: Quantizing 0:27:13

Deep Dive: Quantizing Large Language Models, part 2

ONNXCommunityMeetup2023: INT8 Quantization 0:08:26

ONNXCommunityMeetup2023: INT8 Quantization for Large Language Models with Intel Neural Compressor

SKVQ: Sliding-window Key 0:11:25

SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models

TinyChatEngine Coding Demo 0:00:23

TinyChatEngine Coding Demo on Nvidia GeForce RTX 4070 Laptop

FlightLLM: Efficient Large 0:16:50

FlightLLM: Efficient Large Language Model Inferencewith a Complete Mapping Flow on FPGAs

How Effective Are 0:03:40

How Effective Are Low bit Quantized LLaMA3 Models? An Empirical Analysis

Understanding the LLM 0:34:14

Understanding the LLM Inference Workload - Mark Moyou, NVIDIA

Zechun Liu - 0:52:42

Zechun Liu - Efficient Deployment of Large Language Models (MobileLLM, SpinQuant)

[Neural Magic] Releases 0:04:00

[Neural Magic] Releases LLM Compressor for Faster Inference with vLLM

TinyChatEngine running Llama2-7B 0:00:37

TinyChatEngine running Llama2-7B on MacBook Pro (M1, 2021)

Deep Dive: Quantizing 0:40:28

Deep Dive: Quantizing Large Language Models, part 1