Nouamane Tazi

@nmntz · User

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ML Research Engineer

@huggingfaceParis, France472 followers80 repositories

Repositories

nmntz/website-monitor

A tool written in Go that helps you monitor a collection of websites using various metrics.

★ 12GoForks 1

nmntz/TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

★ 0PythonForks 0

nmntz/Megatron-LM

Ongoing research training transformer models at scale

★ 0PythonForks 1

nmntz/Megatron-Bridge

Training library for Megatron-based models with bidirectional Hugging Face conversion capability

★ 0PythonForks 1

nmntz/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

★ 0Forks 0

nmntz/OLMo

Modeling, training, eval, and inference code for OLMo

★ 0Forks 0

nmntz/OLMoE

OLMoE: Open Mixture-of-Experts Language Models

★ 0Forks 0

nmntz/prime

prime is a framework for efficient, globally distributed training of AI models over the internet.

★ 0Forks 0

nmntz/lighteval

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

★ 0Forks 0

nmntz/ggml

Tensor library for machine learning

★ 0Forks 0

nmntz/DeepSpeed

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

★ 0Forks 0

nmntz/smollm

Everything about the SmolLM & SmolLM2 family of models

★ 0Forks 0

nmntz/deepxde

A library for scientific machine learning

★ 2Forks 0

nmntz/albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

★ 3Forks 0

nmntz/apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

★ 0Forks 0

nmntz/accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

★ 0Forks 0