bigscience-workshop / Megatron-DeepSpeedLinks
Ongoing research training transformer language models at scale, including: BERT & GPT-2
☆1,397Updated last year
Alternatives and similar repositories for Megatron-DeepSpeed
Users that are interested in Megatron-DeepSpeed are comparing it to the libraries listed below
Sorting:
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,091Updated 3 months ago
- Fast Inference Solutions for BLOOM☆564Updated 8 months ago
- Best practice for training LLaMA models in Megatron-LM☆656Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,020Updated 3 months ago
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,000Updated 10 months ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support DeepSeek FP8/FP4☆842Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,131Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,258Updated 3 months ago
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,618Updated last year
- Efficient Training (including pre-training and fine-tuning) for Big Models☆596Updated 3 weeks ago
- distributed trainer for LLMs☆577Updated last year
- [NIPS2023] RRHF & Wombat☆808Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,180Updated last year
- Scalable toolkit for efficient model alignment☆814Updated 3 weeks ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,499Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,426Updated 11 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,507Updated last week
- Expanding natural instructions☆1,002Updated last year
- ☆1,527Updated last week
- A modular RL library to fine-tune language models to human preferences☆2,317Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,066Updated last year
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,836Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,804Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,193Updated last month
- Automatically split your PyTorch models on multiple GPUs for training & inference☆655Updated last year
- Microsoft Automatic Mixed Precision Library☆609Updated 8 months ago
- Crosslingual Generalization through Multitask Finetuning☆536Updated 9 months ago
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,028Updated 9 months ago
- LOMO: LOw-Memory Optimization☆987Updated 11 months ago
- Minimalistic large language model 3D-parallelism training☆1,942Updated this week