• Vicuña: modeled on Alpaca but outperforms it according to clever tests by GPT-4. The wisdom of humankind in a USB-stick. GPT4all, GPTeacher, and 13 million tokens from the RefinedWeb corpus. Here is a list of models that I have tested. GPT4All, a descendant of the GPT-4 LLM model, has been finetuned on various datasets, including Teknium’s GPTeacher dataset and the unreleased Roleplay v2 dataset, using 8 A100-80GB GPUs for 5 epochs [ source ]. bin') Simple generation. 5. Call number : Item: P : Language and literature (Go to start of category): PM : Indigeneous American and Artificial Languages (Go to start of category): PM32 . 5-Turbo Generations 😲. GPT4All maintains an official list of recommended models located in models2. GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. GPT4All model; from pygpt4all import GPT4All model = GPT4All ('path/to/ggml-gpt4all-l13b-snoozy. Works discussing lingua. Langchain cannot create index when running inside Django server. GPT4All is an open-source assistant-style large language model that can be installed and run locally from a compatible machine. Gif from GPT4ALL Resources: Technical Report: GPT4All; GitHub: nomic-ai/gpt4al; Demo: GPT4All (non-official) Model card: nomic-ai/gpt4all-lora · Hugging Face . Technical Report: StableLM-3B-4E1T. It provides high-performance inference of large language models (LLM) running on your local machine. We outline the technical details of the original GPT4All model family, as well as the evolution of the GPT4All project from a single model into a fully fledged open source ecosystem. GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. The model boasts 400K GPT-Turbo-3. To do this, follow the steps below: Open the Start menu and search for “Turn Windows features on or off. In the project creation form, select “Local Chatbot” as the project type. Illustration via Midjourney by Author. 3. First let’s move to the folder where the code you want to analyze is and ingest the files by running python path/to/ingest. ”. Its design as a free-to-use, locally running, privacy-aware chatbot sets it apart from other language models. Discover smart, unique perspectives on Gpt4all and the topics that matter most to you like ChatGPT, AI, Gpt 4, Artificial Intelligence, Llm, Large Language. Download the GGML model you want from hugging face: 13B model: TheBloke/GPT4All-13B-snoozy-GGML · Hugging Face. GPT4ALL-J, on the other hand, is a finetuned version of the GPT-J model. 5-turbo and Private LLM gpt4all. GPT4All-13B-snoozy, Vicuna 7B and 13B, and stable-vicuna-13B. Programming Language. Exciting Update CodeGPT now boasts seamless integration with the ChatGPT API, Google PaLM 2 and Meta. cpp executable using the gpt4all language model and record the performance metrics. GPT4All is a 7B param language model that you can run on a consumer laptop (e. Recommended: GPT4all vs Alpaca: Comparing Open-Source LLMs. Prompt the user. posted 29th March, 2023 - 11:50, GPT4ALL launched 1 hr ago . 📗 Technical Report 2: GPT4All-JWhat is GPT4ALL? GPT4ALL is an open-source project that provides a user-friendly interface for GPT-4, one of the most advanced language models developed by OpenAI. unity. The goal is to create the best instruction-tuned assistant models that anyone can freely use, distribute and build on. GPT4all. You can ingest documents and ask questions without an internet connection! PrivateGPT is built with LangChain, GPT4All. This tells the model the desired action and the language. llama. 41; asked Jun 20 at 4:28. 5 on your local computer. In an effort to ensure cross-operating-system and cross-language compatibility, the GPT4All software ecosystem is organized as a monorepo with the following structure:. Gpt4all[1] offers a similar 'simple setup' but with application exe downloads, but is arguably more like open core because the gpt4all makers (nomic?) want to sell you the vector database addon stuff on top. A Mini-ChatGPT is a large language model developed by a team of researchers, including Yuvanesh Anand and Benjamin M. The structure of. However, the performance of the model would depend on the size of the model and the complexity of the task it is being used for. Hermes GPTQ. AutoGPT4All provides you with both bash and python scripts to set up and configure AutoGPT running with the GPT4All model on the LocalAI server. They don't support latest models architectures and quantization. Learn more in the documentation. Text Completion. In order to use gpt4all, you need to install the corresponding submodule: pip install "scikit-llm [gpt4all]" In order to switch from OpenAI to GPT4ALL model, simply provide a string of the format gpt4all::<model_name> as an argument. It was fine-tuned from LLaMA 7B model, the leaked large language model from Meta (aka Facebook). GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. gpt4all-ts is inspired by and built upon the GPT4All project, which offers code, data, and demos based on the LLaMa large language model with around 800k GPT-3. This directory contains the source code to run and build docker images that run a FastAPI app for serving inference from GPT4All models. LangChain is a framework for developing applications powered by language models. 19 GHz and Installed RAM 15. Stars - the number of stars that a project has on GitHub. cpp. This guide walks you through the process using easy-to-understand language and covers all the steps required to set up GPT4ALL-UI on your system. My laptop isn't super-duper by any means; it's an ageing Intel® Core™ i7 7th Gen with 16GB RAM and no GPU. This C API is then bound to any higher level programming language such as C++, Python, Go, etc. In natural language processing, perplexity is used to evaluate the quality of language models. We report the ground truth perplexity of our model against whatRunning your own local large language model opens up a world of possibilities and offers numerous advantages. . NLP is applied to various tasks such as chatbot development, language. The goal is simple - be the best instruction-tuned assistant-style language model that any person or enterprise can freely use, distribute and build on. q4_0. gpt4all-lora An autoregressive transformer trained on data curated using Atlas. Startup Nomic AI released GPT4All, a LLaMA variant trained with 430,000 GPT-3. Llama models on a Mac: Ollama. With GPT4All, you can easily complete sentences or generate text based on a given prompt. It seems as there is a max 2048 tokens limit. This is the most straightforward choice and also the most resource-intensive one. We would like to show you a description here but the site won’t allow us. With the ability to download and plug in GPT4All models into the open-source ecosystem software, users have the opportunity to explore. Embed4All. This is a library for allowing interactive visualization of extremely large datasets, in browser. GPT4All and Vicuna are both language models that have undergone extensive fine-tuning and training processes. It provides high-performance inference of large language models (LLM) running on your local machine. from typing import Optional. A state-of-the-art language model fine-tuned using a data set of 300,000 instructions by Nous Research. To get you started, here are seven of the best local/offline LLMs you can use right now! 1. Finetuned from: LLaMA. GPT4All is a AI Language Model tool that enables users to have a conversation with an AI locally hosted within a web browser. 0 99 0 0 Updated on Jul 24. In this video, I walk you through installing the newly released GPT4ALL large language model on your local computer. On the other hand, I tried to ask gpt4all a question in Italian and it answered me in English. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. 9 GB. Backed by the Linux Foundation. 5 assistant-style generation. It works better than Alpaca and is fast. Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. Cross-Platform Compatibility: Offline ChatGPT works on different computer systems like Windows, Linux, and macOS. How does GPT4All work. GPT4All is an ecosystem to train and deploy powerful and customized large language models (LLM) that run locally on a standard machine with no special features, such as a GPU. Use the burger icon on the top left to access GPT4All's control panel. Para instalar este chat conversacional por IA en el ordenador, lo primero que tienes que hacer es entrar en la web del proyecto, cuya dirección es gpt4all. Scroll down and find “Windows Subsystem for Linux” in the list of features. The world of AI is becoming more accessible with the release of GPT4All, a powerful 7-billion parameter language model fine-tuned on a curated set of 400,000 GPT-3. OpenAI has ChatGPT, Google has Bard, and Meta has Llama. llms. io. The model boasts 400K GPT-Turbo-3. from typing import Optional. 0 Nov 22, 2023 2. Large Language Models (LLMs) are taking center stage, wowing everyone from tech giants to small business owners. , pure text completion models vs chat models). Macbook) fine tuned from a curated set of 400k GPT-Turbo-3. As for the first point, isn't it possible (through a parameter) to force the desired language for this model? I think ChatGPT is pretty good at detecting the most common languages (Spanish, Italian, French, etc). Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily train and deploy their own on-edge large language models. clone the nomic client repo and run pip install . t. The first options on GPT4All's panel allow you to create a New chat, rename the current one, or trash it. GPT4All is a language model tool that allows users to chat with a locally hosted AI inside a web browser, export chat history, and customize the AI's personality. There are several large language model deployment options and which one you use depends on cost, memory and deployment constraints. 5-Turbo Generations based on LLaMa. We outline the technical details of the. Still, GPT4All is a viable alternative if you just want to play around, and want to test the performance differences across different Large Language Models (LLMs). . Our released model, GPT4All-J, can be trained in about eight hours on a Paperspace DGX A100 8x 80GB for a total cost of $200. Download the gpt4all-lora-quantized. Note that your CPU needs to support AVX or AVX2 instructions. PATH = 'ggml-gpt4all-j-v1. GPT4All is an open-source project that aims to bring the capabilities of GPT-4, a powerful language model, to a broader audience. To get you started, here are seven of the best local/offline LLMs you can use right now! 1. Developed by Nomic AI, GPT4All was fine-tuned from the LLaMA model and trained on a curated corpus of assistant interactions, including code, stories, depictions, and multi-turn dialogue. GPT4All is supported and maintained by Nomic AI, which. Nomic AI. I am a smart robot and this summary was automatic. How to run local large. GPT4All is one of several open-source natural language model chatbots that you can run locally on your desktop or laptop to give you quicker and easier access to such tools than you can get. The API matches the OpenAI API spec. It is the. How to use GPT4All in Python. Our models outperform open-source chat models on most benchmarks we tested,. class MyGPT4ALL(LLM): """. Llama models on a Mac: Ollama. Its prowess with languages other than English also opens up GPT-4 to businesses around the world, which can adopt OpenAI’s latest model safe in the knowledge that it is performing in their native tongue at. try running it again. Once logged in, navigate to the “Projects” section and create a new project. To download a specific version, you can pass an argument to the keyword revision in load_dataset: from datasets import load_dataset jazzy = load_dataset ("nomic-ai/gpt4all-j-prompt-generations", revision='v1. The GPT4All project is busy at work getting ready to release this model including installers for all three major OS's. Nomic AI includes the weights in addition to the quantized model. These tools could require some knowledge of coding. BELLE [31]. I have it running on my windows 11 machine with the following hardware: Intel(R) Core(TM) i5-6500 CPU @ 3. Large Language Models Local LLMs GPT4All Workflow. Simply install the CLI tool, and you're prepared to explore the fascinating world of large language models directly from your command line! - GitHub - jellydn/gpt4all-cli: By utilizing GPT4All-CLI, developers. unity] Open-sourced GPT models that runs on user device in Unity3d. Natural Language Processing (NLP) is a subfield of Artificial Intelligence (AI) that helps machines understand human language. Gpt4All gives you the ability to run open-source large language models directly on your PC – no GPU, no internet connection and no data sharing required! Gpt4All developed by Nomic AI, allows you to run many publicly available large language models (LLMs) and chat with different GPT-like models on consumer grade hardware (your PC. The release of OpenAI's model GPT-3 model in 2020 was a major milestone in the field of natural language processing (NLP). In. GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. New bindings created by jacoobes, limez and the nomic ai community, for all to use. GPT4all-langchain-demo. Use the burger icon on the top left to access GPT4All's control panel. In addition to the base model, the developers also offer. Join the Discord and ask for help in #gpt4all-help Sample Generations Provide instructions for the given exercise. State-of-the-art LLMs require costly infrastructure; are only accessible via rate-limited, geo-locked, and censored web interfaces; and lack publicly available code and technical reports. This library aims to extend and bring the amazing capabilities of GPT4All to the TypeScript ecosystem. answered May 5 at 19:03. cpp ReplyPlugins that use the model from GPT4ALL. LLaMA and Llama2 (Meta) Meta release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. You can update the second parameter here in the similarity_search. One can leverage ChatGPT, AutoGPT, LLaMa, GPT-J, and GPT4All models with pre-trained. ggmlv3. The goal is simple - be the best instruction-tuned assistant-style language model that any person or enterprise can freely use, distribute and build on. There are various ways to steer that process. Run the appropriate command for your OS: M1 Mac/OSX: cd chat;. gpt4all-chat: GPT4All Chat is an OS native chat application that runs on macOS, Windows and Linux. Concurrently with the development of GPT4All, sev-eral organizations such as LMSys, Stability AI, BAIR, and Databricks built and deployed open source language models. ipynb. gpt4all-datalake. The best bet is to make all the options. These tools could require some knowledge of coding. gpt4all. model_name: (str) The name of the model to use (<model name>. Among the most notable language models are ChatGPT and its paid versión GPT-4 developed by OpenAI however some open source projects like GPT4all developed by Nomic AI has entered the NLP race. It was fine-tuned from LLaMA 7B model, the leaked large language model from Meta (aka Facebook). Installation. do it in Spanish). The key phrase in this case is "or one of its dependencies". 5 assistant-style generations, specifically designed for efficient deployment on M1 Macs. Open up Terminal (or PowerShell on Windows), and navigate to the chat folder: cd gpt4all-main/chat. Main features: Chat-based LLM that can be used for NPCs and virtual assistants. cpp, GPT-J, OPT, and GALACTICA, using a GPU with a lot of VRAM. (I couldn’t even guess the tokens, maybe 1 or 2 a second?). 5-Turbo Generations based on LLaMa. Taking inspiration from the ALPACA model, the GPT4All project team curated approximately 800k prompt-response. The model was trained on a massive curated corpus of assistant interactions, which included word problems, multi-turn dialogue, code, poems, songs, and stories. The first time you run this, it will download the model and store it locally on your computer in the following directory: ~/. • GPT4All-J: comparable to Alpaca and Vicuña but licensed for commercial use. StableLM-3B-4E1T is a 3 billion (3B) parameter language model pre-trained under the multi-epoch regime to study the impact of repeated tokens on downstream performance. . Pygpt4all. GPT4all, GPTeacher, and 13 million tokens from the RefinedWeb corpus. At the moment, the following three are required: libgcc_s_seh-1. Performance : GPT4All. Check out the Getting started section in our documentation. A. I'm working on implementing GPT4All into autoGPT to get a free version of this working. cpp (GGUF), Llama models. More ways to run a. GPT4All is one of several open-source natural language model chatbots that you can run locally on your desktop or laptop to give you quicker and easier access to such tools than you can get. Contributing. GPT4ALL is trained using the same technique as Alpaca, which is an assistant-style large language model with ~800k GPT-3. . You will then be prompted to select which language model(s) you wish to use. The model was able to use text from these documents as. ,2022). I managed to set up and install on my PC, but it does not support my native language, so that it would be convenient to use it. Next let us create the ec2. Image 4 - Contents of the /chat folder. The second document was a job offer. cpp; gpt4all - The model explorer offers a leaderboard of metrics and associated quantized models available for download ; Ollama - Several models can be accessed. The goal is simple - be the best instruction tuned assistant-style language model that any person or enterprise can freely use, distribute and build on. Is there a guide on how to port the model to GPT4all? In the meantime you can also use it (but very slowly) on HF, so maybe a fast and local solution would work nicely. . This article will demonstrate how to integrate GPT4All into a Quarkus application so that you can query this service and return a response without any external resources. q4_2 (in GPT4All) 9. From the official website GPT4All it is described as a free-to-use, locally running, privacy-aware chatbot. Double click on “gpt4all”. Open the GPT4All app and select a language model from the list. This article explores the process of training with customized local data for GPT4ALL model fine-tuning, highlighting the benefits, considerations, and steps involved. Next, run the setup file and LM Studio will open up. To provide context for the answers, the script extracts relevant information from the local vector database. 5-Turbo Generations based on LLaMa. MPT-7B and MPT-30B are a set of models that are part of MosaicML's Foundation Series. 5-Turbo Generations based on LLaMa, and can give results similar to OpenAI’s GPT3 and GPT3. ChatGPT is a natural language processing (NLP) chatbot created by OpenAI that is based on GPT-3. nvim is a Neovim plugin that uses the powerful GPT4ALL language model to provide on-the-fly, line-by-line explanations and potential security vulnerabilities for selected code directly in your Neovim editor. The simplest way to start the CLI is: python app. It can run offline without a GPU. • GPT4All is an open source interface for running LLMs on your local PC -- no internet connection required. From the official website GPT4All it is described as a free-to-use, locally running, privacy-aware chatbot. The most well-known example is OpenAI's ChatGPT, which employs the GPT-Turbo-3. 💡 Example: Use Luna-AI Llama model. Source Cutting-edge strategies for LLM fine tuning. wasm-arrow Public. 0. By utilizing GPT4All-CLI, developers can effortlessly tap into the power of GPT4All and LLaMa without delving into the library's intricacies. gpt4all. The GPT4ALL project enables users to run powerful language models on everyday hardware. gpt4all: open-source LLM chatbots that you can run anywhere - GitHub - mlcyzhou/gpt4all_learn: gpt4all: open-source LLM chatbots that you can run anywhereGPT4All should respond with references of the information that is inside the Local_Docs> Characterprofile. , 2023 and Taylor et al. GPT4All is a large language model (LLM) chatbot developed by Nomic AI, the world’s first information cartography company. Open up Terminal (or PowerShell on Windows), and navigate to the chat folder: cd gpt4all-main/chat. . Image taken by the Author of GPT4ALL running Llama-2–7B Large Language Model. yarn add gpt4all@alpha npm install gpt4all@alpha pnpm install [email protected]: An ecosystem of open-source on-edge large language models. The authors of the scientific paper trained LLaMA first with the 52,000 Alpaca training examples and then with 5,000. We will test with GPT4All and PyGPT4All libraries. A state-of-the-art language model fine-tuned using a data set of 300,000 instructions by Nous Research. These are some of the ways that PrivateGPT can be used to leverage the power of generative AI while ensuring data privacy and security. PyGPT4All is the Python CPU inference for GPT4All language models. However, when interacting with GPT-4 through the API, you can use programming languages such as Python to send prompts and receive responses. co GPT4All, an advanced natural language model, brings the power of GPT-3 to local hardware environments. Fast CPU based inference. Learn more in the documentation. Default is None, then the number of threads are determined automatically. No GPU or internet required. GPT4ALL is better suited for those who want to deploy locally, leveraging the benefits of running models on a CPU, while LLaMA is more focused on improving the efficiency of large language models for a variety of hardware accelerators. LangChain has integrations with many open-source LLMs that can be run locally. For more information check this. MiniGPT-4 consists of a vision encoder with a pretrained ViT and Q-Former, a single linear projection layer, and an advanced Vicuna large language model. github","path":". Run inference on any machine, no GPU or internet required. Run a Local LLM Using LM Studio on PC and Mac. GPT4All runs reasonably well given the circumstances, it takes about 25 seconds to a minute and a half to generate a response, which is meh. Offered by the search engine giant, you can expect some powerful AI capabilities from. Creole dialects. C++ 6 Apache-2. GPT4all. unity. ~800k prompt-response samples inspired by learnings from Alpaca are provided Yeah it's good but vicuna model now seems to be better Reply replyAccording to the authors, Vicuna achieves more than 90% of ChatGPT's quality in user preference tests, while vastly outperforming Alpaca. The model was trained on a massive curated corpus of assistant interactions, which included word problems, multi-turn dialogue, code, poems, songs, and stories. gpt4all - gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue ;. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. A PromptValue is an object that can be converted to match the format of any language model (string for pure text generation models and BaseMessages for chat models). It is 100% private, and no data leaves your execution environment at any point. They don't support latest models architectures and quantization. Meet privateGPT: the ultimate solution for offline, secure language processing that can turn your PDFs into interactive AI dialogues. Language(s) (NLP): English; License: Apache-2; Finetuned from model [optional]: GPT-J; We have released several versions of our finetuned GPT-J model using different dataset. GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. On the. Its design as a free-to-use, locally running, privacy-aware chatbot sets it apart from other language models. What if we use AI generated prompt and response to train another AI - Exactly the idea behind GPT4ALL, they generated 1 million prompt-response pairs using the GPT-3. This model is brought to you by the fine. you may want to make backups of the current -default. Automatically download the given model to ~/. Essentially being a chatbot, the model has been created on 430k GPT-3. Developed by Tsinghua University for Chinese and English dialogues. These are both open-source LLMs that have been trained. It can run on a laptop and users can interact with the bot by command line. Alternatively, if you’re on Windows you can navigate directly to the folder by right-clicking with the. The app uses Nomic-AI's advanced library to communicate with the cutting-edge GPT4All model, which operates locally on the user's PC, ensuring seamless and efficient communication. 5. The AI model was trained on 800k GPT-3. If everything went correctly you should see a message that the. 3. Vicuna is a large language model derived from LLaMA, that has been fine-tuned to the point of having 90% ChatGPT quality. The first of many instruct-finetuned versions of LLaMA, Alpaca is an instruction-following model introduced by Stanford researchers. To download a specific version, you can pass an argument to the keyword revision in load_dataset: from datasets import load_dataset jazzy = load_dataset ("nomic-ai/gpt4all-j-prompt-generations", revision='v1. cpp You need to build the llama. perform a similarity search for question in the indexes to get the similar contents. yarn add gpt4all@alpha npm install gpt4all@alpha pnpm install [email protected]: GPT4All is a 7 billion parameters open-source natural language model that you can run on your desktop or laptop for creating powerful assistant chatbots, fine tuned from a curated set of. Gpt4All, or “Generative Pre-trained Transformer 4 All,” stands tall as an ingenious language model, fueled by the brilliance of artificial intelligence. The official discord server for Nomic AI! Hang out, Discuss and ask question about GPT4ALL or Atlas | 26138 members. Run GPT4All from the Terminal. Members Online. Click “Create Project” to finalize the setup. It's fast for three reasons:Step 3: Navigate to the Chat Folder. Large language models, or LLMs as they are known, are a groundbreaking. Build the current version of llama. 75 manticore_13b_chat_pyg_GPTQ (using oobabooga/text-generation-webui). See full list on huggingface. It is like having ChatGPT 3. It holds and offers a universally optimized C API, designed to run multi-billion parameter Transformer Decoders. " GitHub is where people build software. Last updated Name Stars. It has since been succeeded by Llama 2. GPT4All models are 3GB - 8GB files that can be downloaded and used with the. GPT4All, a descendant of the GPT-4 LLM model, has been finetuned on various. However, it is important to note that the data used to train the. In recent days, it has gained remarkable popularity: there are multiple articles here on Medium (if you are interested in my take, click here), it is one of the hot topics on Twitter, and there are multiple YouTube. MODEL_PATH — the path where the LLM is located. Python :: 3 Project description ; Project details ; Release history ; Download files ; Project description. Select language. Leg Raises ; Stand with your feet shoulder-width apart and your knees slightly bent. For more information check this. No GPU or internet required. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"LICENSE","path":"LICENSE","contentType":"file"},{"name":"README. GPT4All and GPT4All-J. Subreddit to discuss about Llama, the large language model created by Meta AI. GPT4ALL is an open-source software ecosystem developed by Nomic AI with a goal to make training and deploying large language models accessible to anyone. This C API is then bound to any higher level programming language such as C++, Python, Go, etc. 5 assistant-style generations, specifically designed for efficient deployment on M1 Macs. Contributions to AutoGPT4ALL-UI are welcome! The script is provided AS IS. . Which are the best open-source gpt4all projects? This list will help you: evadb, llama. 0. In the. 1, GPT4All-Snoozy had the best average score on our evaluation benchmark of any model in the ecosystem at the time of its release. Taking inspiration from the ALPACA model, the GPT4All project team curated approximately 800k prompt-response. g. You can access open source models and datasets, train and run them with the provided code, use a web interface or a desktop app to interact with them, connect to the Langchain Backend for distributed computing, and use the Python API. The installation should place a “GPT4All” icon on your desktop—click it to get started. js API. GPT4All, OpenAssistant, Koala, Vicuna,.