qhliu26 / Dive-into-Big-Model-TrainingLinks
📑 Dive into Big Model Training
☆114Updated 2 years ago
Alternatives and similar repositories for Dive-into-Big-Model-Training
Users that are interested in Dive-into-Big-Model-Training are comparing it to the libraries listed below
Sorting:
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆210Updated 10 months ago
- ☆119Updated last year
- ☆105Updated 10 months ago
- Triton-based implementation of Sparse Mixture of Experts.☆219Updated 6 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆272Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆127Updated 5 months ago
- ☆84Updated 3 years ago
- Explorations into some recent techniques surrounding speculative decoding☆269Updated 6 months ago
- Zero Bubble Pipeline Parallelism☆398Updated last month
- PyTorch bindings for CUTLASS grouped GEMM.☆100Updated 3 weeks ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆210Updated last week
- Latency and Memory Analysis of Transformer Models for Training and Inference☆431Updated 2 months ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆204Updated 6 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆70Updated last year
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆194Updated 4 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆282Updated 2 months ago
- A minimal implementation of vllm.☆44Updated 11 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆88Updated 2 years ago
- A Python library transfers PyTorch tensors between CPU and NVMe☆116Updated 7 months ago
- Sequence-level 1F1B schedule for LLMs.☆17Updated last year
- A simple calculation for LLM MFU.☆38Updated 3 months ago
- Applied AI experiments and examples for PyTorch☆277Updated 3 weeks ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆167Updated this week
- ☆157Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆297Updated 7 months ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆112Updated last year
- ring-attention experiments☆144Updated 8 months ago
- ☆141Updated 3 months ago
- Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind☆98Updated last year
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆106Updated 3 months ago