facebookresearch / diffqLinks
DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.
☆235Updated 2 years ago
Alternatives and similar repositories for diffq
Users that are interested in diffq are comparing it to the libraries listed below
Sorting:
- Implementation of a Transformer, but completely in Triton☆268Updated 3 years ago
- Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch☆184Updated 2 years ago
- Named tensors with first-class dimensions for PyTorch☆331Updated 2 years ago
- Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)☆116Updated 3 years ago
- Fast Block Sparse Matrices for Pytorch☆547Updated 4 years ago
- Prune a model while finetuning or training.☆403Updated 3 years ago
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years ago
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆214Updated 2 years ago
- graftr: an interactive shell to view and edit PyTorch checkpoints.☆113Updated 4 years ago
- Customized matrix multiplication kernels☆56Updated 3 years ago
- Library for 8-bit optimizers and quantization routines.☆716Updated 2 years ago
- MONeT framework for reducing memory consumption of DNN training☆173Updated 4 years ago
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆187Updated 3 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- Block-sparse primitives for PyTorch☆156Updated 4 years ago
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆180Updated last week
- Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload☆127Updated 2 years ago
- Blazing fast training of 🤗 Transformers on Graphcore IPUs☆85Updated last year
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 2 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆299Updated 2 weeks ago
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆319Updated last week
- A GPU performance profiling tool for PyTorch models☆503Updated 3 years ago
- Butterfly matrix multiplication in PyTorch☆169Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆323Updated 2 years ago
- Accelerate PyTorch models with ONNX Runtime☆362Updated 4 months ago
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆83Updated last year
- Implementation of Flash Attention in Jax☆213Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆224Updated 10 months ago
- Sequence modeling with Mega.☆296Updated 2 years ago
- A case study of efficient training of large language models using commodity hardware.☆69Updated 2 years ago