GATECH-EIC / Edge-LLMLinks
[DAC 2024] EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
☆65Updated last year
Alternatives and similar repositories for Edge-LLM
Users that are interested in Edge-LLM are comparing it to the libraries listed below
Sorting:
- This repo contains the code for studying the interplay between quantization and sparsity methods☆22Updated 6 months ago
- Code release for AdapMoE accepted by ICCAD 2024☆32Updated 4 months ago
- [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning☆101Updated last year
- ☆107Updated last year
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆20Updated last year
- ☆30Updated this week
- DeiT implementation for Q-ViT☆24Updated 4 months ago
- [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design☆115Updated 2 years ago
- LLM Inference with Microscaling Format☆29Updated 9 months ago
- Code Repository of Evaluating Quantized Large Language Models☆130Updated 11 months ago
- The official implementation of the DAC 2024 paper GQA-LUT☆20Updated 8 months ago
- ☆24Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Updated last year
- ViTALiTy (HPCA'23) Code Repository☆23Updated 2 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆15Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆64Updated last year
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆94Updated last year
- ☆49Updated last month
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 6 months ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
- ☆65Updated last month
- Torch2Chip (MLSys, 2024)☆53Updated 4 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 8 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆113Updated last month
- HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference☆51Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- ☆24Updated 8 months ago
- ☆47Updated 10 months ago
- ☆14Updated last year