Python llama 2. cpp, or any of the projects based on it, using the .

py file, import the libraries as follows. docker run -p 5000:5000 llama-cpu-server. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the llama. The Llama 2 is a collection of pretrained and fine-tuned generative text models, ranging from 7 billion to 70 billion parameters, designed for dialogue use cases. 7 for Llama-2 7B in the MMLU (Massive Multitask Language Understanding) benchmark. 100% private, with no data leaving your device. Next, set the global variables of the llama-2–70b-chat model. Date of birth: Month. In this post, we’ll build a Llama 2 chatbot in Python using Streamlit for the frontend, while the LLM backend is handled through API calls to the Llama 2 model hosted on Replicate. cpp package. cpp, or any of the projects based on it, using the . ∘ Install dependencies for running LLaMA locally. Jun 24, 2024 · With the help of picoLLM Compression, compressed Llama 2 and Llama 3 models are small enough to even run on Raspberry Pi. Run Llama 2 In Terminal. Other approaches are easier to implement and, in some cases, better suited for our use case. cpp. Jul 23, 2023 · It now has a new option llama-2-7b-chat. Because Python is the most benchmarked language for code generation, and because Python and PyTorch play an important role in the AI community – we believe a specialized model provides additional utility. Aug 7, 2023 · Define the model, we are using “llama-2–7b-chat. We will download the GPTQ optimized version of the model, which reduces the cost to run the model significantly using quantization. ai/Happy Prompting! ️ If you Jul 24, 2023 · In this guide, I show how you can fine-tune Llama 2 to be a dialog summarizer! Last weekend, I wanted to finetune Llama 2 (which now reigns supreme in the Open LLM leaderboard ) on a dataset of my own collection of Google Keep notes; each one of my notes has both a title and a body so I wanted to train Llama to generate a body from a given title. Where did LLaMa 2 come from? Sep 10, 2023 · There is no way to run a Llama-2-70B chat model entirely on an 8 GB GPU alone. server --model models/7B/llama-model. Get up and running with Llama 3, Mistral, Gemma 2, and other large language models. q4_K_M. (File sizes/ memory sizes of Q2 quantization see below) Your best bet to run Llama-2-70 b is: Long answer: combined with your system memory, maybe. Q4_0. . 6 score in CommonSense QA (dataset for commonsense question answering). This repo provides instructions for installing prerequisites like Python and Git, cloning the necessary repositories, downloading and converting the Llama models, and finally running the model with example prompts. If the answer is 100 tokens, and max_new_tokens is 150, I have 50 newlines. py and store your secret keys and API tokens in the . Aug 24, 2023 · Code Llama – Python is a language specialized variation of Code Llama, further fine-tuned on 100B tokens of Python code. Jan 17, 2024 · Jan 17, 2024. So I am ready to go. picoLLM Inference Engine also runs on Android, iOS and Web Browsers. main_gpu ( int, default: 0 ) –. gguf model stored locally at ~/Models/llama-2-7b-chat. For using a Llama-2 chat model with a LlamaCPP LMM, install the llama-cpp-python library using these installation instructions. gguf. To install Python, visit the Python website, where you can choose your OS and download the version of Python you like. Meta just released the new state-of-the-art open LLM, which is a collection of pre-trained and fine-tuned models ranging in scale from 7 billion to 70 billion parameters: Llama 2 — an updated version of Llama 1, trained on a new mix of publicly available data. Then click Download. llama-cpp-python is a Python binding for llama. 9 or higher installed; Streamlit library installed; UbiOps Client Library installed; UbiOps account (see below) Jump to guide. The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative […] To install the package, run: pip install llama-cpp-python. pth file in the root folder of this repo. Before we get started, you will need to install panel==1. You switched accounts on another tab or window. " Jul 18, 2023 · LLaMA 2 model family. Jul 19, 2023 · Llama. gguf . py TheBloke/Llama-2-7B-GPTQ OpenHermes-2-Mistral-7B Installing the SDK Our SDK allows your application to interact with LlamaAPI seamlessly, abstracting the handling of aiohttp sessions and headers, allowing for a simplified interaction with LlamaAPI. To successfully complete this guide, you will need: Python 3. This notebook goes over how to run llama-cpp-python within LangChain. /llama-2-chat-7B-finetuned --length 100 --prompt "USER: Hi, I want to cancel my subscription. The download links might change, but a single-node, “bare metal” setup is similar to below: Ensure you can use the model via python3 and this example. Contribute to LBMoon/Llama2-Chinese development by creating an account on GitHub. With the environment set up, you’re now ready to dive into the core of the data extraction process. Reload to refresh your session. Because Python is the most benchmarked language for code generation – and because Python and PyTorch play an important role in the AI community – we believe a specialized model provides additional utility. https://llama2. Pull Llama 2. Code Llama Jul 18, 2023 · October 2023: This post was reviewed and updated with support for finetuning. Add stream completion. First name. download. cpp 」はC言語で記述されたLLMのランタイムです。. This repo contains GGUF format model files for Meta's Llama 2 13B. json; Now I would like to interact with the model. We can train our Llama2 model using python baby_llama/run. One quirk of sentencepiece is that when decoding a sequence, if the first token is the start of the word (e. 1. Request access to Meta Llama. Aug 3, 2023 · Llama 2 vs ChatGPT. https://labs. When everything is set up, just run the following command to start the Llama 2 model in the terminal. py --model_type gpt2 --model_name_or_path . You can see first-hand the performance of Llama 3 by using Meta AI for coding tasks and problem solving. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Oct 11, 2023 · Our goal is to bridge the existing gap by offering a clear-cut reference implementation encapsulating all transformer logic within a concise Python file, not exceeding 500 lines of code. 特徴は、次のとおりです。. To run Llama 2, or any other PyTorch models Description. Llama 2 13B-chat The latest release of Intel Extension for PyTorch (v2. It should then go to the web address and find businesses matching the users input and find any email addresses connected to the business, then put the business name and email address in a google spread sheet. $ pip install Oct 16, 2023 · First, create a Python file called llama_chatbot. It supports inference for many LLMs models, which can be accessed on Hugging Face. ChatLlamaAPI. 🌎; A notebook on how to run the Llama 2 Chat Model with 4-bit quantization on a local computer or Google Colab. cpp is a library we need to run Llama2 models. January February March April May June July August September October November December. Aug 1, 2023 · Run Llama 2 on your own Mac using LLM and Homebrew. Use the Panel chat interface to build an AI chatbot with Mistral 7B. Jul 18, 2023 · You can deploy and use Llama 2 foundation models with a few clicks in SageMaker Studio or programmatically through the SageMaker Python SDK. cpp to work as a command line tool. server it will use llama. The following example uses a quantized llama-2-7b-chat. LLAMA_SPLIT_ROW: the GPU that is used for small tensors and intermediate results. New: Code Llama support! - getumbrel/llama-gpt Jan 17, 2024 · Fine-tune Llama 2 on Trainium instances in both the SageMaker Studio UI and the SageMaker Python SDK. Llama 2 is the latest commercially usable openly licensed Large Language Model, released by Meta AI a few weeks ago. 57. Input Models input text only. cpp compatible models with any OpenAI compatible client (language libraries, services, etc). Sep 6, 2023 · Today, we are excited to announce the capability to fine-tune Llama 2 models by Meta using Amazon SageMaker JumpStart. The code should ask the user for a web address and business type. Furthermore, it produces many newlines after the answer. co/chat3. q4_0. 2. A Llama-3 also got a 72. cpp」の主な目標は、MacBookで4bit量子化を使用してLLAMAモデルを実行することです。. In just a few lines of code, we will show you how you can run LLM inference with Llama 2 and Llama 3 using the picoLLM Inference Engine Python SDK. import PyPDF2. 10. Our latest version of Llama is now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly. gguf quantizations. You will need to re-start your notebook from the beginning. Once we have those checkpoints, we have to convert them into the llama2. 11 -m venv llama2. Links to other models can be found in the index at the bottom. Output generated by Jun 30, 2024 · After the recent llama. Just download a Python library by pip. GGUF is a new format introduced by the llama. Prompting large language models like Llama 2 is an art and a science. 3, ctransformers, and langchain. Today, we’re excited to release: Apr 27, 2024 · For example, according to a HuggingFace model page, Llama-3 8B got a 66. Day. Aug 5, 2023 · I would like to use llama 2 7B locally on my win 11 machine with python. Fine-tune LLaMA 2 (7-70B) on Amazon SageMaker, a complete guide from setup to QLoRA fine-tuning and deployment on Amazon Sep 26, 2023 · Step 3: Querying the Model with Prompts. See llama_cpp. The LLaMA tokenizer is a BPE model based on sentencepiece. Let's do this for 30B model. Though the original Facebook/llama is written on Python, its complexity is rather high due to multiple dependencies and sophisticated optimizations implemented Aug 13, 2023 · El segundo es PyPDF2 que nos permite tomar un pdf y leerlo en Python, este lo usaremos para darle contexto a Llama 2 mas adelante. As more developers and researchers gain access, we can expect to see a surge in innovative AI-powered solutions. Note: new versions of llama-cpp-python use GGUF model files (see here ). cpp from source and install it alongside this python package. I have a conda venv installed with cuda and pytorch with cuda support and python 3. To build a simple vector store index In this video, @DataProfessor shows you how to build a Llama 2 chatbot in Python using the Streamlit framework for the frontend, while the LLM backend is han So Step 1, get the Llama 2 checkpoints by following the Meta instructions. For Multiple Document Summarization, Llama2 extracts text from the documents and utilizes an Attention Mechanism This allows you to use llama. com/krishnaik06/Complete-Langchain-Tutorials/tree/main/Blog%20GenerationThe Llama 2 release introduces a family Jul 28, 2023 · 3 Places where you can find Hosted Llama 2 models:1. You signed out in another tab or window. To install the package, run: pip install llama-cpp-python. Remeber to replace the model version as needed. pip install llama-cpp-python PyPDF2. To recap, every Spark context must be able to read the model from /models Aug 4, 2023 · This guide aims to make cutting-edge AI accessible by allowing anyone to deploy their own LLaMa 2 chatbot in minutes. Under Download Model, you can enter the model repo: TheBloke/Llama-2-13B-chat-GGUF and below it, a specific filename to download, such as: llama-2-13b-chat. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. greedy, random sampling, top-k sampling, top-p sampling, and their variants including temperature scaling. Step 3. ollama pull llama2:13b-chat. · Load LlaMA 2 model with llama-cpp-python 🚀. Then find the process ID PID under Processes and run the command kill [PID]. Aug 15, 2023 · cd llama. It outperforms open-source chat models on most benchmarks and is on par with popular closed-source models in human evaluations for helpfulness and safety. I recommend using the huggingface-hub Python library: Llama中文社区，最好的中文Llama大模型，完全开源可商用. py included in the logmodel github tree is useful for testing the logged model. This model was contributed by zphang with contributions from BlackSamorez. I just released a new plugin for my LLM utility that adds support for Llama 2 and many other llama-cpp compatible models. env file. py --input_dir D:\Downloads\LLaMA --model_size 30B. Similar to Hardware Acceleration section above, you can also install with Aug 28, 2023 · #Chatbot #ChatGPT #OpenAI #Python #ArtificialIntelligence #chatbot #chatgptbot #naturallanguageprocessing #llama2 #llama #llama2apillama 2 using API | Free | Jan 3, 2024 · Here’s a hands-on demonstration of how to create a local chatbot using LangChain and LLAMA2: Initialize a Python virtualenv, install required packages. cpp, which makes it easy to use the library in Python. The 'llama-recipes' repository is a companion to the Meta Llama 3 models. After installing Ollama, you can pull the Llama 2 model using the following command. bin” for our implementation and some other hyperparams to tune it. To download only the 7B model files to your current directory, run: python -m llama. Whether you're developing agents, or other AI-powered applications, Llama 3 in both 8B and Run the code in the second code cell to download the 7B version of LLaMA 2 to run the web UI with. Aug 24, 2023 · When Meta released Llama 2, a powerful artificial intelligence model similar to the one behind ChatGPT, last month, HumanEval and Mostly Basic Python Problems, it performs much better than llama. The model’s design enables it to work with text data, identifying relationships and patterns within the content. It is a replacement for GGML, which is no longer supported by llama. To download all of them, run: python -m llama. cpp 's objective is to run the LLaMA model with 4-bit integer quantization on MacBook. txt) and then use the export. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Aug 17, 2023 · Finally, we showcase how to perform inference using the fine-tuned model and how does it compare against the baseline model. In this post we’re going to cover everything I’ve learned while exploring Llama 2, including how to format chat prompts, when to use which Llama variant, when to use ChatGPT over Llama, how system prompts work, and some tips and tricks. Create a python virtual environment for llama2 using the command below, I'd chosen the name llama2 for the virtual environment. 00. e. 「Llama. You signed in with another tab or window. To download only the 7B and 30B model files Code Llama Python is a language-specialized variation of Code Llama, further fine-tuned on 100B tokens of Python code. Aug 10, 2023 · Before we start, we need to get access to the model. py file, e. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. We will use Python to write our script to set up and run the pipeline. env). LLAMA_SPLIT_* for options. The Llama2 Oct 3, 2023 · I'd strongly suggest you start by getting llama. Step 2. - ollama/ollama Jul 21, 2023 · In particular, the three Llama 2 models (llama-7b-v2-chat, llama-13b-v2-chat, and llama-70b-v2-chat) are hosted on Replicate. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the Jul 31, 2023 · Step 2: Preparing the Data. Jul 8, 2024 · To install the package, run: pip install llama-cpp-python. There is another high-speed way to download the checkpoints and tokenizers. We will also see how to use the llama-cpp-python library to run the Zephyr LLM, which is an open-source model based on the Mistral model. chk; consolidated. ai/ 2. Oct 23, 2023 · To merge the weights with the meta-llama/Llama-2–7b-hf model simply run the following script. Step 1: Prerequisites and dependencies. py --model models Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. cpp, llama2-chatbot, cog-llama-template, OpenPipe, cog, and ollama 80 52,244 8. ∘ Download the model from HuggingFace. We’ve integrated Llama 3 into Meta AI, our intelligent assistant, that expands the ways people can get things done, create and connect with Meta AI. from llama_cpp import Llama. The files a here locally downloaded from meta: folder llama-2-7b-chat with: checklist. The program chat. Last name. (2) 「 Llama 2 」 (llama-2-7b-chat. For this we need to install the python dependencies (pip install -r requirements. 77 for this specific model. pth; params. This will create merged. 6 score compared to 45. python merge_lora_model. You will write your code in llama_chatbot. Try out Llama. Fine-tuned LLMs, called Llama-2-chat, are optimized for dialogue use cases. Feb 27, 2023 · pyllama. About GGUF. Una vez instaladas las librerias procedemos a importarlas y cargar nuestro modelo Llama 2: #Import libraries needed. Aug 25, 2023 · Introduction. Originally a web chat example, it now serves as a development playground for ggml library features. A notebook on how to quantize the Llama 2 model using GPTQ from the AutoGPTQ library. Code Llama is free for research and commercial use. The code should do the following. You’ll explore how Meta’s Llama 2 does its best to continue Meta's perspective in the field of generative AI. python chat. The Dockerfile will creates a Docker image that starts a Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. Available variants: 7B, 13B, and 70B parameters. If this fails, add --verbose to the pip install see the full cmake build log. “Banana”), the tokenizer does not prepend the prefix space to the string. llama. How to split the model across GPUs. https://huggingface. It comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. 10+xpu) officially supports Intel Arc A-series graphics on WSL2, built-in Windows and built-in Linux. Install pip install llama2-wrapper Start OpenAI Compatible API python -m llama2_wrapper. Guide for setting up and running Llama2 on Mac systems with Apple silicon. You’ll learn how to: Nov 1, 2023 · This package provides Python bindings for llama. Output Models generate text only. 3. py model=llama2, this produces the following results: Oct 3, 2023 · llama2-wrapper is the backend and part of llama2-webui, which can run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Download Llama. python merge-weights. co LangChain is a powerful, open-source framework designed to help you develop applications powered by a language model, particularly a large Jul 28, 2023 · After fine-tuning Llama 2 with your own data, you can generate text with the fine-tuned model by running the following command in the terminal: python run_generation. It is a plain C/C++ implementation optimized for Apple silicon and x86 architectures, supporting various integer quantization and BLAS libraries. q2_K. In this example, we load a PDF document in the same directory as the python application and prepare it for processing by Jul 19, 2023 · ローカルでの実行. The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. macOSはGPU対応が面倒そうなので、CPUにしてます。. This will also build llama. # Create a project dir. Demonstrated running Llama 2 7B and Llama 2-Chat 7B inference on Intel Arc A770 graphics on Windows and WSL2 via Intel Extension for PyTorch. Jul 19, 2023 · 以下の記事が面白かったので、軽くまとめました。 ・Llama 2 is here - get it on Hugging Face 1. There are four models (7B,13B,30B,65B) available. g. %pip install --upgrade --quiet llamaapi. ∘ Running the model using llama_cpp Aug 24, 2023 · Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. However, Meta says they may need up to 2 days to process the request. This is a breaking change. for 7B model: Aug 2, 2023 · The llama-cpp-python module (installed via pip) We’re using the 7B chat “Q8” version of Llama 2, found here. サポートされているプラットフォームは、つぎおとおりです。. Build an AI chatbot with both Mistral 7B and Llama2 using LangChain. $ mkdir llm Apr 13, 2024 · Download Ollma and install. Llama 2. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. Setting up the python bindings is as simple as running the following command Asked 1 year ago in Python by Wayne. 前回と同様です。. Indices are in the indices folder (see list of indices below). ローカルでの実行手順は、次のとおりです。. If you have that going, then you're in a good place to try to configure the Python bindings to have identical behavior (with the question narrowly focused on the bindings themselves, with the larger hardware/OS/&c questions safely out of scope). LLama 2 A summary of all mentioned or recommeneded projects: llama, llama. Oct 6, 2023 · To re-try after you tweak your parameters, open a Terminal ('Launcher' or '+' in the nav bar above -> Other -> Terminal) and run the command nvidia-smi. Figure 1: Llama2, the Python coder ( image source) One important caveat to recognize is that fine-tuning is sometimes unnecessary. This requires three steps and takes around 1 hour. Its improved performance, open-source nature, and commitment to safety and transparency make Llama 2 a promising model for a wide range of applications. 1. python3. Meta AI has released this open-source large language model, Llama2, which has significantly improved performance and is free for both research and commercial use. Activate the virtual Code Llama was developed by fine-tuning Llama 2 using a higher sampling of code. LLAMA_SPLIT_LAYER: ignored. A self-hosted, offline, ChatGPT-like chatbot. main_gpu interpretation depends on split_mode: LLAMA_SPLIT_NONE: the GPU that is used for the entire model. q2_k as an LLM. We are unlocking the power of large language models. Set up llama-cpp-python. First, you need to unshard model checkpoints to a single file. !python download-model. Jul 24, 2023 · Llama 1 vs Llama 2 Benchmarks — Source: huggingface. c format. This implementation focuses on reproducing and extending some of the key features that distinguish LLaMA 2, including RMS-Normalization, the SwiGLU activation function, Rotary Positional Embeddings (RoPE), increased context length with Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. Code Llama is a family of state-of-the-art, open-access versions of Llama 2 specialized on code tasks, and we’re excited to release integration in the Hugging Face ecosystem! Code Llama has been released with the same permissive community license as Llama 2 and is available for commercial use. January. In this example, D:\Downloads\LLaMA is a root folder of downloaded torrent with weights. Today, we are excited to announce that Llama 2 foundation models developed by Meta are available for customers through Amazon SageMaker JumpStart to fine-tune and deploy. As with Llama 2, we applied considerable safety mitigations to the fine-tuned versions of the model. Jul 11, 2024 · # custom selection of integrations to work with core pip install llama-index-core pip install llama-index-llms-openai pip install llama-index-llms-replicate pip install llama-index-embeddings-huggingface Examples are in the docs/examples folder. Read the document carefully and make sure the intended use case doesn’t violate the Acceptable Sep 17, 2023 · Registered Model llama2-gguf-chat Step 7: Test the logged Chat model. cpp team on August 21st 2023. Not even with quantization. Pip install llama-cpp-python. Powered by Llama 2. Pre-built Wheel (New) It is also possible to install a pre-built wheel with basic CPU support. py and an env file (. On the llama_chatbot. (3) パッケージのインストール。. This release includes model weights and starting code for pretrained and fine-tuned Llama language Jul 26, 2023 · Then the response from Llama-2 directly mirrors one piece of context, and includes no information from the others. I am using llama-cpp-python==0. cpp as the backend by default to run llama-2-7b-chat. 🌎; 🚀 Deploy. On the command line, including multiple files at once. Model Architecture Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. How to install Llama 2 on a Mac Aug 14, 2023 · A llama typing on a keyboard by stability-ai/sdxl. ggmlv3. download --model_size 7B. (1) Pythonの仮想環境の準備。. 2 Python This repository contains a custom implementation of the LLaMA 2 model, as described in the paper "LLaMA 2: Open Foundation and Fine-Tuned Chat Models" (). For detailed information on model training, architecture and parameters, evaluations, responsible AI and safety refer to our research paper. This notebook shows how to use LangChain with LlamaAPI - a hosted version of Llama2 that adds in support for function calling. cpp refactor I had to also update the cmake build a little bit, as of version 0. # Replace 'Your_API_Token' with your actual API token. 6 vs. Build an AI chatbot with both Mistral 7B and Llama2. 80 the build should work correctly and Gemma2 is supported ️ 1 etemiz reacted with heart emoji Developed by Meta AI, Llama2 is an open-source model released in 2023, proficient in various natural language processing (NLP) tasks, such as text generation, text summarization, question answering, code generation, and translation. bin)の準備。. 1st August 2023. To install the server package and get started: pip install llama-cpp-python [ server] python3 -m llama_cpp. First, let’s open the “Llama 2 Community License Agreement” website. Nov 1, 2023 · For that, let's compare some examples of token generation using the different sampling methods described in the Llama post, i. The goal of this repository is to provide a scalable library for fine-tuning Meta Llama models, along with some example scripts and notebooks to quickly get started with using the models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Meta Llama and other Llama. Llama 2 「Llama 2」は、Metaが開発した、7B・13B・70B パラメータのLLMです。 長いコンテキスト長 (4,000トークン) や、70B モデルの高速推論のためのグループ化されたクエリアテンションなど、「Llama 1」と比べて Oct 29, 2023 · Afterwards you can build and run the Docker container with: docker build -t llama-cpu-server . bin model. Compare the performance of the fine-tuned Llama 2 model with that of pre-trained model to show the effectiveness of fine-tuning. Begin by passing the raw text array from your PDF to LLama 2. 「 Llama. perplexity. py results/final_checkpoint/ results/merged_model/ Full Merge Code Nov 15, 2023 · Let’s dive in! Getting started with Llama 2. Next, we need data to build our chatbot. Nov 17, 2023 · Use the Mistral 7B model. from llamaapi import LlamaAPI. Dec 13, 2023 · Blog Generation Platform Code: https://github. 2. la zx ya yn qy vi ct ul zo ux