microsoft / torchscaleLinks
Foundation Architecture for (M)LLMs
☆3,128Updated last year
Alternatives and similar repositories for torchscale
Users that are interested in torchscale are comparing it to the libraries listed below
Sorting:
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)☆4,734Updated last year
- ☆2,928Updated 2 weeks ago
- A Unified Library for Parameter-Efficient and Modular Transfer Learning☆2,793Updated 2 months ago
- An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"☆1,210Updated 2 years ago
- PyTorch extensions for high performance and large scale training.☆3,392Updated 8 months ago
- An open-source framework for training large multimodal models.☆4,054Updated last year
- 🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch☆2,180Updated last year
- Cramming the training of a (BERT-type) language model into limited compute.☆1,355Updated last year
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters☆5,930Updated last year
- An Open-source Toolkit for LLM Development☆2,796Updated 11 months ago
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways☆827Updated 3 years ago
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,696Updated last month
- Transformer related optimization, including BERT, GPT☆6,377Updated last year
- A fast MoE impl for PyTorch☆1,825Updated 10 months ago
- The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”☆981Updated last year
- TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.☆1,679Updated last week
- maximal update parametrization (µP)☆1,640Updated last year
- Accessible large language models via k-bit quantization for PyTorch.☆7,845Updated 2 weeks ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆2,504Updated last year
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,136Updated last year
- Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch☆1,274Updated 3 years ago
- A modular RL library to fine-tune language models to human preferences☆2,376Updated last year
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆4,234Updated last week
- Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI☆2,055Updated last year
- 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…☆1,584Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,239Updated last year
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Ad…☆6,093Updated 5 months ago
- Meta-Transformer for Unified Multimodal Learning☆1,645Updated 2 years ago
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.☆4,905Updated last year
- Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"☆1,063Updated last year