SqueezeAILab / open_source_projectsLinks
Open Source Projects from Pallas Lab
☆20Updated 3 years ago
Alternatives and similar repositories for open_source_projects
Users that are interested in open_source_projects are comparing it to the libraries listed below
Sorting:
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆50Updated last year
- Repository for CPU Kernel Generation for LLM Inference☆26Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆108Updated 7 months ago
- ☆30Updated last year
- LLM Inference with Microscaling Format☆23Updated 6 months ago
- ACL 2023☆39Updated 2 years ago
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆48Updated 10 months ago
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆13Updated 4 months ago
- ☆21Updated 7 months ago
- ☆73Updated 4 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- Nsight Systems In Docker☆20Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 8 months ago
- Compression for Foundation Models☆31Updated 2 months ago
- ☆25Updated 6 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 2 years ago
- The official implementation of the DAC 2024 paper GQA-LUT☆18Updated 5 months ago
- Evaluation Code repository for the paper "ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers". (2023…☆13Updated last year
- ☆39Updated 7 months ago
- ☆67Updated 7 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆36Updated 2 months ago
- A collection of research papers on efficient training of DNNs☆70Updated 2 years ago
- AFPQ code implementation☆21Updated last year
- ☆12Updated 2 years ago
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆15Updated 9 months ago
- Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference☆20Updated 3 months ago
- ☆57Updated last month
- ☆49Updated 10 months ago