flexflow / flexflow-trainLinks
Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
☆1,846Updated last 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.☆2,080Updated 5 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,568Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,307Updated 9 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆958Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,122Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆921Updated last month
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆2,971Updated last week
- The Triton TensorRT-LLM Backend☆910Updated last week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,234Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,197Updated 3 months ago
- Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs☆896Updated 2 weeks ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,668Updated last year
- Pipeline Parallelism for PyTorch☆784Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,368Updated 4 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,874Updated last year
- Microsoft Automatic Mixed Precision Library☆628Updated last week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆790Updated 9 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,426Updated last year
- FlashInfer: Kernel Library for LLM Serving☆4,168Updated last week
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,163Updated 2 months ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆945Updated last month
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,784Updated this week
- 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…☆1,585Updated last year
- Transformer related optimization, including BERT, GPT☆6,360Updated last year
- Disaggregated serving system for Large Language Models (LLMs).☆747Updated 8 months ago
- ☆611Updated 7 months ago
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆940Updated this week
- Latency and Memory Analysis of Transformer Models for Training and Inference☆466Updated 7 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆851Updated last year
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆477Updated last year