flexflow / flexflow-trainLinks
Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
☆1,809Updated this week
Alternatives and similar repositories for flexflow-train
Users that are interested in flexflow-train are comparing it to the libraries listed below
Sorting:
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,026Updated last week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,259Updated 4 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆855Updated 10 months ago
- A throughput-oriented high-performance serving framework for LLMs☆835Updated last month
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,548Updated this week
- Serving multiple LoRA finetuned LLM as one☆1,070Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,440Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,105Updated 3 months ago
- FlashInfer: Kernel Library for LLM Serving☆3,349Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,384Updated this week
- A PyTorch Native LLM Training Framework☆829Updated 6 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,140Updated this week
- The Triton TensorRT-LLM Backend☆859Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,139Updated last year
- Microsoft Automatic Mixed Precision Library☆612Updated 9 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,558Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆714Updated 4 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,843Updated last year
- Disaggregated serving system for Large Language Models (LLMs).☆639Updated 3 months ago
- ☆599Updated 2 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,401Updated last year
- Latency and Memory Analysis of Transformer Models for Training and Inference☆434Updated 2 months ago
- Pipeline Parallelism for PyTorch☆769Updated 10 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,377Updated this week
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,067Updated 2 weeks ago
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,575Updated last year
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,616Updated this week
- Fast inference from large lauguage models via speculative decoding☆773Updated 10 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆812Updated 10 months ago
- Zero Bubble Pipeline Parallelism☆403Updated 2 months ago