facebookresearch / metaseqLinks
Repo for external large-scale work
☆6,527Updated last year
Alternatives and similar repositories for metaseq
Users that are interested in metaseq are comparing it to the libraries listed below
Sorting:
- An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries☆7,240Updated last week
- ☆2,835Updated 3 weeks ago
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)☆4,674Updated last year
- Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"☆6,384Updated 2 months ago
- Running large language models on a single GPU for throughput-oriented scenarios.☆9,336Updated 8 months ago
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Ad…☆6,073Updated 9 months ago
- Accessible large language models via k-bit quantization for PyTorch.☆7,167Updated this week
- RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable)…☆13,744Updated last week
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,504Updated last year
- A collection of libraries to optimise AI model performances☆8,371Updated 11 months ago
- Instruct-tune LLaMA on consumer hardware☆18,927Updated 11 months ago
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆8,875Updated this week
- An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.☆8,295Updated 3 years ago
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters☆5,886Updated last year
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆18,861Updated this week
- OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset☆7,501Updated last year
- Code and documentation to train Stanford's Alpaca models, and generate the data.☆30,046Updated 11 months ago
- CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.☆5,102Updated 5 months ago
- GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)☆7,682Updated last year
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.☆4,755Updated 6 months ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆39,075Updated last week
- Aligning pretrained language models with instruction data generated by themselves.☆4,404Updated 2 years ago
- Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)☆3,938Updated last year
- Large Language Model Text Generation Inference☆10,249Updated last week
- Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM☆7,851Updated 2 months ago
- Training and serving large-scale neural networks with auto parallelization.☆3,137Updated last year
- Instruction Tuning with GPT-4☆4,309Updated 2 years ago
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆31,582Updated 2 weeks ago
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆9,641Updated this week
- LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath☆9,421Updated 3 weeks ago