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For my fellow Windows shills, here's how you actually build it on windows: Before steps: 1. (For Nvidia GPU users) Install cuda toolkit https://developer.nvidia.com/cuda-downloads 2. Download the model somewhere: https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/llama-2-13b-chat.ggmlv3.q4_0.bin In Windows Terminal with Powershell:- Source: Hacker News / 10 months agogit clone https://github.com/ggerganov/llama.cpp.
I use Ubuntu and configuring nvidia drivers is very easy installing from here https://developer.nvidia.com/cuda-downloads. Source: 10 months ago
You have posted almost no information about your Hardware and what exactly you have done. Do you actually have NVIDIA? Have you actually installed CUDA? Also when exactly do you get the error, while installed the python package or later? Source: 10 months ago
EDIT: LINK TO CUDA-toolkit: https://developer.nvidia.com/cuda-downloads. Source: 11 months ago
It's worth noting that you'll need a recent release of llama.cpp to run GGML models with GPU acceleration here is the latest build for CUDA 12.1), and you'll need to install a recent CUDA version if you haven't already (here is the CUDA 12.1 toolkit installer -- mind, it's over 3 GB). Source: 12 months ago
Want to work on Mage, a modern replacement for Airflow? Source: about 1 year ago
You could also check mage. https://github.com/mage-ai/mage-ai It is developed by former engineers of AirBnb too. Source: over 1 year ago
Disclaimer: I worked at Airbnb for 5+ years working on data tools like Airflow and I helped start Mage almost 2 years ago. Source: over 1 year ago
Here is an easy to use data pipeline tool (free) with a user friendly UI: https://github.com/mage-ai/mage-ai. Source: over 1 year ago
You can also check out the repo here: https://github.com/mage-ai/mage-ai. - Source: Hacker News / over 1 year ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Versatile Data Kit - An open-source framework that enables anybody to create their own data pipelines, with: - Data SDK for the automation of data extraction, transformation, and loading.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Caravel - Visual, intuitive, and interactive data exploration platform