huggingface / trl
Train transformer language models with reinforcement learning.
β12,591Updated this week
Alternatives and similar repositories for trl:
Users that are interested in trl are comparing it to the libraries listed below
- π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.β17,795Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMsβ10,322Updated 9 months ago
- Fast and memory-efficient exact attentionβ16,370Updated this week
- Accessible large language models via k-bit quantization for PyTorch.β6,818Updated this week
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)β4,601Updated last year
- A framework for few-shot evaluation of language models.β8,270Updated this week
- Large Language Model Text Generation Inferenceβ9,905Updated this week
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"β11,536Updated 3 months ago
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parametersβ5,832Updated last year
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β8,497Updated this week
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinksβ6,830Updated 8 months ago
- An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)β5,707Updated this week
- Aligning pretrained language models with instruction data generated by themselves.β4,314Updated last year
- SGLang is a fast serving framework for large language models and vision language models.β12,220Updated this week
- Tools for merging pretrained large language models.β5,424Updated this week
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adβ¦β6,040Updated 6 months ago
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.β11,810Updated this week
- General technology for enabling AI capabilities w/ LLMs and MLLMsβ3,888Updated 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¦β16,483Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMsβ41,815Updated this week
- Ongoing research training transformer models at scaleβ11,837Updated this week
- PyTorch native post-training libraryβ5,014Updated this week
- Go ahead and axolotl questionsβ8,882Updated this week
- The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.β8,324Updated 10 months ago
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.β21,854Updated 7 months ago
- LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMathβ9,358Updated 7 months ago
- Reference implementation for DPO (Direct Preference Optimization)β2,465Updated 7 months ago
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.β4,766Updated this week
- Robust recipes to align language models with human and AI preferencesβ5,056Updated 4 months ago
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.β4,678Updated 3 months ago