flexflow / flexflow-train
Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
☆1,749Updated this week
Alternatives and similar repositories for flexflow-train:
Users that are interested in flexflow-train are comparing it to the libraries listed below
- FlashInfer: Kernel Library for LLM Serving☆1,797Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆1,942Updated last month
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆2,086Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,179Updated 3 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,669Updated last week
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,957Updated 3 weeks ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,316Updated 6 months ago
- Serving multiple LoRA finetuned LLM as one☆1,012Updated 8 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆1,998Updated 9 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆680Updated 4 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,371Updated 6 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,777Updated 11 months ago
- A throughput-oriented high-performance serving framework for LLMs☆692Updated 3 months 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…☆1,549Updated 11 months ago
- Pipeline Parallelism for PyTorch☆736Updated 4 months ago
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆912Updated 2 weeks ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆2,762Updated this week
- The Triton TensorRT-LLM Backend☆745Updated last week
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆759Updated 4 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆1,885Updated 2 weeks ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,354Updated 9 months ago
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,152Updated 3 months ago
- Minimalistic large language model 3D-parallelism training☆1,386Updated this week
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆467Updated 10 months ago
- A PyTorch Native LLM Training Framework☆693Updated 3 weeks ago
- Microsoft Automatic Mixed Precision Library☆549Updated 3 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆369Updated 2 months ago
- Transformer related optimization, including BERT, GPT☆5,981Updated 9 months ago
- [NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces in…☆874Updated 2 weeks ago