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MLIR For Beginners tutorial

A native PyTorch Library for large model training

Next-Token Prediction is All You Need

Finetune Llama 3.2, Mistral, Phi, Qwen & Gemma LLMs 2-5x faster with 80% less memory

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Excel 2007+ Binary Workbook (xlsb) reader for Python

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

A new markup-based typesetting system that is powerful and easy to learn.

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

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

Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .

Development repository for the Triton-Linalg conversion

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使用 Typst 编写的中文简历, 语法简洁, 样式美观, 开箱即用, 可选是否显示照片

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Community-sourced cheatsheets

compiler learning resources collect.

A model compilation solution for various hardware

llama3.np is a pure NumPy implementation for Llama 3 model.

MLIR-based partitioning system

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

System for AI Education Resource.

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

PyTorch extensions for high performance and large scale training.

Hands-On Practical MLIR Tutorial

A fast communication-overlapping library for tensor parallelism on GPUs.