megvii-research / IntLLaMALinks
IntLLaMA: A fast and light quantization solution for LLaMA
☆18Updated 2 years ago
Alternatives and similar repositories for IntLLaMA
Users that are interested in IntLLaMA are comparing it to the libraries listed below
Sorting:
- An object detection codebase based on MegEngine.☆28Updated 2 years ago
- TVMScript kernel for deformable attention☆25Updated 3 years ago
- ☆32Updated last year
- Quantized Attention on GPU☆44Updated 11 months ago
- Training LLaMA language model with MMEngine! It supports LoRA fine-tuning!☆41Updated 2 years ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆92Updated 9 months ago
- ☆22Updated 3 years ago
- ☆12Updated 2 years ago
- Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).☆25Updated 3 months ago
- Benchmarking Attention Mechanism in Vision Transformers.☆18Updated 3 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- Odysseus: Playground of LLM Sequence Parallelism☆78Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- [CVPR-2023] Towards Any Structural Pruning☆16Updated 2 years ago
- ☆17Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆30Updated last year
- ☆34Updated 4 months ago
- torch.compile artifacts for common deep learning models, can be used as a learning resource for torch.compile☆18Updated last year
- Official Code For Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM☆14Updated last year
- ACL 2023☆39Updated 2 years ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated 10 months ago
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆21Updated this week
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆43Updated last month
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Updated 3 years ago
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆20Updated 9 months ago
- ☆101Updated 5 months ago
- # Unified Normalization (ACM MM'22) By Qiming Yang, Kai Zhang, Chaoxiang Lan, Zhi Yang, Zheyang Li, Wenming Tan, Jun Xiao, and Shiliang P…☆34Updated 2 years ago
- Xmixers: A collection of SOTA efficient token/channel mixers☆29Updated last month