Official inference library for Mistral models

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Simulated annealing for neural networks with JAX.

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

MNIST : data files and images

Efficient utility of image similarity using deep neural network and deep learning.

SMDK, Scalable Memory Development Kit, is developed for Samsung CXL(Compute Express Link) Memory Expander to enable full-stack Software-Defined Memory system

Run generative AI models in sophgo BM1684X

Open source FPGA-based NIC and platform for in-network compute

Code examples and resources for DBRX, a large language model developed by Databricks

Grok open release

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

A fast inference library for running LLMs locally on modern consumer-class GPUs

A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..

LLM training in simple, raw C/HIP for AMD GPUs

Implementation for MatMul-free LM.

Foundation Architecture for (M)LLMs

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Code for the paper "Language Models are Unsupervised Multitask Learners"

AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)

A large-scale simulation framework for LLM inference

A Gradio web UI for Large Language Models.

Fast and memory-efficient exact attention

PygmalionAI's large-scale inference engine