thevasudevgupta / gpt-triton
Triton implementation of GPT/LLAMA
☆16Updated 5 months ago
Alternatives and similar repositories for gpt-triton:
Users that are interested in gpt-triton are comparing it to the libraries listed below
- Cataloging released Triton kernels.☆157Updated 3 weeks ago
- ☆110Updated 3 weeks ago
- Prune transformer layers☆67Updated 8 months ago
- ☆171Updated last week
- ☆75Updated 6 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆116Updated last year
- ☆140Updated 11 months ago
- ☆121Updated this week
- Write a fast kernel and run it on Discord. See how you compare against the best!☆17Updated this week
- ☆85Updated 11 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆221Updated last week
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆175Updated this week
- Code for studying the super weight in LLM☆72Updated last month
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆56Updated this week
- Learn CUDA with PyTorch☆16Updated this week
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆113Updated last month
- Fast low-bit matmul kernels in Triton☆199Updated last week
- Applied AI experiments and examples for PyTorch☆216Updated last week
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆91Updated 2 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆67Updated 9 months ago
- Collection of autoregressive model implementation☆77Updated 3 weeks ago
- ring-attention experiments☆119Updated 3 months ago
- extensible collectives library in triton☆77Updated 4 months ago
- This repository contains the experimental PyTorch native float8 training UX☆219Updated 5 months ago
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆67Updated 8 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆99Updated last week
- Experiment of using Tangent to autodiff triton☆74Updated last year
- Normalized Transformer (nGPT)☆146Updated 2 months ago
- Mixed precision training from scratch with Tensors and CUDA☆21Updated 8 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆218Updated this week