meta-pytorch / torchtuneLinks
PyTorch native post-training library
☆5,576Updated this week
Alternatives and similar repositories for torchtune
Users that are interested in torchtune are comparing it to the libraries listed below
Sorting:
- A PyTorch native platform for training generative AI models☆4,645Updated last week
- Tools for merging pretrained large language models.☆6,436Updated last week
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.☆6,140Updated 2 months ago
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.☆12,903Updated this week
- Go ahead and axolotl questions☆10,753Updated this week
- Robust recipes to align language models with human and AI preferences☆5,417Updated 2 months ago
- ☆4,103Updated last year
- Modeling, training, eval, and inference code for OLMo☆6,100Updated 2 weeks ago
- ☆3,037Updated last year
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,715Updated this week
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆12,069Updated this week
- AllenAI's post-training codebase☆3,284Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆7,737Updated this week
- Curated list of datasets and tools for post-training.☆3,850Updated 3 months ago
- Minimalistic large language model 3D-parallelism training☆2,294Updated 2 months ago
- A framework for few-shot evaluation of language models.☆10,553Updated last week
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆3,528Updated 5 months ago
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,619Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,332Updated 3 months ago
- Training LLMs with QLoRA + FSDP☆1,528Updated last year
- Run PyTorch LLMs locally on servers, desktop and mobile☆3,617Updated 2 months ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,918Updated 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 als…☆18,022Updated last week
- Efficient Triton Kernels for LLM Training☆5,814Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,489Updated this week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,865Updated last year
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆7,113Updated last year
- DataComp for Language Models☆1,385Updated 2 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,265Updated 6 months ago
- A fast inference library for running LLMs locally on modern consumer-class GPUs☆4,354Updated 2 months ago