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Intel® Gaudi® AI Accelerator 's Projects

autogptq icon autogptq

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

gaudi-solutions icon gaudi-solutions

Full End-to-End examples showing how to use First-gen Gaudi and Gaudi2 in common use cases

gaudi-tutorials icon gaudi-tutorials

Tutorials for running models on First-gen Gaudi and Gaudi2 for Training and Inference. The source files for the tutorials on https://developer.habana.ai/

gohlml icon gohlml

HABANA Management Library bindings for Go

neural-compressor icon neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

optimum-habana-fork icon optimum-habana-fork

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)

papers icon papers

Academic papers by Habana research team

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

setup_and_install icon setup_and_install

Setup and Installation Instructions for Habana binaries, docker image creation

slurm icon slurm

Slurm: A Highly Scalable Workload Manager

snapshot_for_debug icon snapshot_for_debug

Snapshot scripts for gathering information about the model and Habana training session for Habana analysis and debug

synapseai_core icon synapseai_core

SynapseAI Core is a reference implementation of the SynapseAI API running on Habana Gaudi

tpc_llvm icon tpc_llvm

TPC-CLANG compiler that compiles a TPC C programming language which is used in HabanaLabs Deep-Learning Accelerators

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