This repository contains the experimental PyTorch native float8 training UX
☆226Aug 1, 2024Updated 2 years ago
Alternatives and similar repositories for float8_experimental
Users that are interested in float8_experimental are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Microsoft Automatic Mixed Precision Library☆634Dec 1, 2025Updated 10 months ago
- Applied AI experiments and examples for PyTorch☆322Aug 22, 2025Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,597Updated this week
- PyTorch native quantization for training and inference☆3,018Updated this week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆165Aug 19, 2026Updated 2 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Pipeline Parallelism for PyTorch☆785Aug 21, 2024Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆490Oct 1, 2026Updated 3 weeks ago
- A library to analyze PyTorch traces.☆564Updated this week
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆997Sep 28, 2026Updated last month
- ☆192Jun 16, 2024Updated 2 years ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,078Apr 17, 2024Updated 2 years ago
- A Quirky Assortment of CuTe Kernels☆1,185Updated this week
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Jun 21, 2026Updated 4 months ago
- Ring attention implementation with flash attention☆1,065Sep 10, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆551Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,173Sep 4, 2024Updated 2 years ago
- ☆210May 5, 2025Updated last year
- TensorDict is a pytorch dedicated tensor container.