huggingface / peftLinks
π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
β18,912Updated this week
Alternatives and similar repositories for peft
Users that are interested in peft are comparing it to the libraries listed below
Sorting:
- Fast and memory-efficient exact attentionβ18,150Updated this week
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"β12,194Updated 6 months ago
- QLoRA: Efficient Finetuning of Quantized LLMsβ10,518Updated last year
- Train transformer language models with reinforcement learning.β14,435Updated this week
- Accessible large language models via k-bit quantization for PyTorch.β7,192Updated this week
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β8,896Updated this week
- Large Language Model Text Generation Inferenceβ10,265Updated last week
- Ongoing research training transformer models at scaleβ12,751Updated this week
- Instruct-tune LLaMA on consumer hardwareβ18,922Updated 11 months ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.β39,142Updated this week
- Retrieval and Retrieval-augmented LLMsβ10,050Updated last month
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.β22,918Updated 10 months ago
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adβ¦β6,073Updated this week
- Aligning pretrained language models with instruction data generated by themselves.β4,408Updated 2 years ago
- RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable)β¦β13,755Updated this week
- Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We alsβ¦β17,574Updated this week
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parametersβ5,885Updated last year
- Code and documentation to train Stanford's Alpaca models, and generate the data.β30,060Updated 11 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMsβ51,313Updated this week
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)β53,583Updated this week
- An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.β38,804Updated last month
- ImageBind One Embedding Space to Bind Them Allβ8,712Updated 11 months ago
- LAVIS - A One-stop Library for Language-Vision Intelligenceβ10,705Updated 7 months ago
- Inference code for Llama modelsβ58,445Updated 5 months ago
- Hackable and optimized Transformers building blocks, supporting a composable construction.β9,670Updated this week
- An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.β8,441Updated last month
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) trainingβ22,170Updated 10 months ago
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalitiesβ21,461Updated last month
- SGLang is a fast serving framework for large language models and vision language models.β15,567Updated this week
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.β12,380Updated this week