huggingface / safetensors
Simple, safe way to store and distribute tensors
β3,255Updated this week
Alternatives and similar repositories for safetensors:
Users that are interested in safetensors are comparing it to the libraries listed below
- Accessible large language models via k-bit quantization for PyTorch.β6,972Updated this week
- π Accelerate inference and training of π€ Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimizationβ¦β2,874Updated last week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (Nβ¦β4,633Updated last month
- Hackable and optimized Transformers building blocks, supporting a composable construction.β9,457Updated last week
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackabβ¦β1,566Updated last year
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β8,673Updated last week
- Transformer related optimization, including BERT, GPTβ6,147Updated last year
- Fast and memory-efficient exact attentionβ17,259Updated last week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.β4,831Updated 3 weeks ago
- PyTorch native quantization and sparsity for training and inferenceβ2,015Updated this week
- PyTorch native post-training libraryβ5,154Updated this week
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flβ¦β2,475Updated 8 months ago
- A machine learning compiler for GPUs, CPUs, and ML acceleratorsβ3,135Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.β2,009Updated last month
- Large Language Model Text Generation Inferenceβ10,081Updated last week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Accelerationβ2,984Updated 3 weeks ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Blaβ¦β2,393Updated this week
- Tools for merging pretrained large language models.β5,628Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMsβ10,417Updated 10 months ago
- PyTorch extensions for high performance and large scale training.β3,309Updated last week
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)β4,637Updated last year
- 4 bits quantization of LLaMA using GPTQβ3,049Updated 9 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:β2,145Updated this week
- β4,077Updated 11 months ago
- Tensor library for machine learningβ12,445Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".β2,099Updated last year
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.β1,890Updated this week
- Development repository for the Triton language and compilerβ15,447Updated this week
- Ongoing research training transformer models at scaleβ12,261Updated this week
- Train transformer language models with reinforcement learning.β13,624Updated this week