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
☆70Updated 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:
- [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning☆103Updated last year
- Code release for AdapMoE accepted by ICCAD 2024☆33Updated 4 months ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 7 months ago
- ☆110Updated last year
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆20Updated last year
- The official implementation of the DAC 2024 paper GQA-LUT☆20Updated 9 months ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆57Updated 6 months ago
- ☆31Updated last week
- Code Repository of Evaluating Quantized Large Language Models☆131Updated last year
- [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design☆117Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆115Updated 2 months ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
- ☆187Updated last year
- LLM Inference with Microscaling Format☆31Updated 10 months ago
- ☆51Updated 2 months ago
- Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts☆127Updated last year
- ☆24Updated 9 months ago
- Curated collection of papers in MoE model inference☆265Updated last week
- ☆71Updated last year
- ☆47Updated 11 months ago
- ☆15Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 9 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Updated last year
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆95Updated last year
- ViTALiTy (HPCA'23) Code Repository☆23Updated 2 years ago
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆17Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆123Updated last year
- ☆48Updated 4 years ago
- Torch2Chip (MLSys, 2024)☆54Updated 5 months ago
- H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference☆63Updated 5 months ago