Advanced housing system for QBCore.ps-housing ps-housing is a resource that opens up a world of creative possibilities for housing. Its user-friendly interface lets you decorate any location to your heart's content. The best part? Not only is it completely free, but it's also reliable and functional, unlike many other housing systems available. Dive in and start transforming spaces with ps-housing today! ps-housing owes its existence to the exceptional coding expertise of Xirvin#0985. H…
🔊 Text-Prompted Generative Audio Model🐶 Bark 🔗 Examples • Suno Studio Waitlist • Updates • How to Use • Installation • FAQ Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying. To support the research community, we are providing access to pretrained …
PSPi 6 Welcome to the PSPi 6 GitHub repository! This project is a combination of hardware and software development aiming to retrofit a PSP with almost every type of Raspberry Pi. Hardware Features Improved Display: The new board uses 7 bits for each color when using the Pi Zero and 8 bits for each color when using the Compute Module, improving color depth for images and videos. LCD Power Consumption: Adjustments have been made to the LCD components to reduce power consumption when the screen…
A bot for r/place that doesn't use the apiReddit place bot 2023 👍 API-less authentication 👍 Worker system 👍 Place pixels Requirements Go 1.20+ The tor expert bundle (https://www.torproject.org/download/tor/) A connection to the internet How to use You need to download the Tor expert bundle from https://www.torproject.org/download/tor/ FOR WINDOWS USERS: You need to add the tor.exe to your PATH, you can do that by following this tutorial: https://www.architectryan.com/2018/03/17/add-to-th…
kfd, short for kernel file descriptor, is a project to read and write kernel memory on Apple devices.kfd kfd, short for kernel file descriptor, is a project to read and write kernel memory on Apple devices. It leverages various vulnerabilities that can be exploited to obtain dangling PTEs, which will be referred to as a PUAF primitive, short for "physical use-after-free". Then, it reallocates certain kernel objects inside those physical pages and manipulates them directly from user spac…
Meta-Transformer for Unified Multimodal Learning Yiyuan Zhang1,2* Kaixiong Gong1,2* Kaipeng Zhang2,✉ Hongsheng Li 1,2 Yu Qiao 2 Wanli Ouyang2 Xiangyu Yue1,✉ 1Multimedia Lab, The Chinese University of Hong Kong 2OpenGVLab，Shanghai AI Laboratory * Equal Contribution ✉ Corresponding Author 🌟 Single Foundation Model Supports A Wide Range of Applications As a foundation model, Meta-Transformer can handle data from 12…
A colab gradio web UI for running Large Language Models🐣 Please follow me for new updates https://twitter.com/camenduru 🔥 Please join our discord server https://discord.gg/k5BwmmvJJU 🥳 Please join my patreon community https://patreon.com/camenduru 🚦 WIP 🚦 🦒 Colab colab Info - Model Page vicuna-13b-GPTQ-4bit-128g https://vicuna.lmsys.org vicuna-13B-1.1-GPTQ-4bit-128g https://vicuna.lmsys.org stable-vicuna-13B-GPTQ-4bit-128g https://huggingface.co/CarperAI/stable-vicuna-13b-de…
Run Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Supporting Llama-2-7B/13B/70B with 8-bit, 4-bit. Supporting GPU inference (6 GB VRAM) and CPU inference.llama2-webui Running Llama 2 with gradio web UI on GPU or CPU from anywhere (Linux/Windows/Mac). Supporting Llama 2 7B, 13B, 70B with 8-bit, 4-bit mode. Supporting GPU inference with at least 6 GB VRAM, and CPU inference with at least 6 GB RAM. Features Supporting models: Llama-2-7b/13b/70b, all Llama-2-GPT…
Inference Llama 2 in one file of pure Cllama2.c With the code in this repo you can train the Llama 2 LLM architecture from scratch in PyTorch, then export the weights to a binary file, and load that into one ~simple 500-line C file (run.c) that inferences the model. Alternatively, you can load, finetune, and inference Meta's Llama 2 (but this is still being actively fleshed out). Hence, this repo is a "fullstack" train + inference solution for Llama 2 LLM, with a focus on minimalis…