Nov 25, 2023 ... 268K views · 10:15. Go to channel · Unleash the power of Local LLM's with Ollama x AnythingLLM. Tim Carambat•25K views · 9:23. Go to chann...I run Local LLM on a laptop with 24GB RAM & no GPU. 3B Models work fast, 7B Models are slow but doable. I prefer models which are not highly censored like claude, chatgpt, it might restrict scenes in the story. I tried the following medium-quantized models : - Dolphin Phi 2 3B Model. - Nous Capybara v1.9. - Xwin mlewd 0.2 7B. - Cockatrice 0.1 7B.Tip. Running AnythingLLM on AWS/GCP/Azure?\nYou should aim for at least 2GB of RAM. Disk storage is proportional to however much data\nyou will be storing (documents, vectors, models, etc).23 hours ago · If you’re rocking a Radeon 7000-series GPU or newer, AMD has a full guide on getting an LLM running on your system, which you can find here. The good news is, if you don’t have a supported graphics card, Ollama will still run on an AVX2-compatible CPU, although a whole lot slower than if you had a supported GPU. Local LLMs - Getting Started with LLaMa on AWS EC2 As the world of AI continues to evolve, large language models (LLMs) have become increasingly popular. …10 Best Interfaces for Running Local Large Language Models (LLMs): Faraday.dev: Rating: 5/5; Key Features: Offline operation, local storage, cross-platform support. Suitable for: Users without coding knowledge, privacy-conscious users. local.ai: Rating: 4/5; Key Features: Open-source, efficient memory utilization, cross-platform.mkdir private-llm cd private-llm touch local-llm.py mkdir models # lets create a virtual environement also to install all packages locally only python3 -m venv .venv. .venv/bin/activate. Now, we want to add our GPT4All model file to the models directory we created so that we can use it in our script.This is where finetuning comes in. Finetuning is the process of taking a pre-trained LLM and customizing it for a specific task or dataset. With finetuning, you can steer the LLM towards producing ...Oobabooga's goal is to be a hub for all current methods and code bases of local LLM (sort of Automatic1111 for LLM). By it's very nature it is not going to be a simple UI and the complexity will only increase as the local LLM open source is not converging in one tech to rule them all, quite opposite. People are coming up with new things and ...A reference project that runs the popular continue.dev plugin entirely on a local Windows PC, with a web server for OpenAI Chat API compatibility. RAG on Windows using TensorRT-LLM and LlamaIndex. The RAG pipeline consists of the Llama-2 13B model, TensorRT-LLM, LlamaIndex, and the FAISS vector search library.4-bit quantization via QLoRA allows efficient finetuning of huge LLM models on consumer hardware while retaining high performance. ... Italy, and he was the illegitimate son of a local notary. Despite his humble origins, he was able to study art and engineering in Florence, and he became a renowned artist and inventor. Da Vinci's work had a ...Mistral 7b is a 7-billion parameter large language model (LLM) developed by Mistral AI. It is trained on a massive dataset of text and code, and it can perform a variety of tasks.Depends what you mean by "local". If you mean in your own home, then there isn't a particularly cheap way unless you have a decent spare machine. ... - Be able to access your local LLM without an Internet connection. - Feed it custom data and prompt sets for GPTs-like functionality without paying OpenAI $20/month. I mostly use Ollama, … Assumes that models are downloaded to ~/.cache/huggingface/hub/.This is the default cache path used by Hugging Face Hub library and only supports .gguf files.. If you're using models from TheBloke and you don't specify a filename, we'll attempt to use the model with 4 bit medium quantization, or you can specify a filename explicitly. PandasAI supports several large language models (LLMs). LLMs are used to generate code from natural language queries. The generated code is then executed to produce the result. You can either choose a LLM by instantiating one and passing it to the SmartDataFrame or SmartDatalake constructor, or you can specify one in the pandasai.json file.To estimate the usage cost of an LLM, we measure the GPU Utilization of the LLM. The main unit we use for measurement is token. Tokens are pieces of words used for natural language processing. For Open AI models, 1 token is approximately 4 characters or 0.75 words in English text.Dec 4, 2023 · LLM Server: The most critical component of this app is the LLM server.Thanks to Ollama, we have a robust LLM Server that can be set up locally, even on a laptop.While llama.cpp is an option, I ... Oct 20, 2023 ... This video shows how to install LiteLLM locally on Windows or Linux and call API of Anthropic, Huggingface, Cohere, TogetherAI, Azure, ...When you've gotten Whisper and Piper to work, you are ready to move on to the local LLM. I've found that LocalAI is a great way to expose a custom conversation agent for Home Assistant. Basically, you download the latest LocalAI container with CUDA support, download a model that understands Home Assistant, OpenAI functions and …5) Once it opens your new web browser tab (this is all local, it doesn't go to the internet), click on "Scenarios", select "New Instruct", and click Confirm. You're DONE! Now just talk to the model like ChatGPT and have fun with it.Otherwise 20B-34B with 3-5bpw exl2 quantizations is best. Currently I am running a merge of several 34B 200K models, but I am also experimenting with InternLM 20B chat. I've been having good luck with Nous-Capybara-limarpv3-34B ( GGUF) using the Q4_K_M quantization in KoboldCPP. It's just barely small enough to fit entirely into 24GB of VRAM ...open_llm_leaderboard. like 8.45k. Running App Files Files Community 635 Track, rank and evaluate open LLMs and chatbots. Spaces. HuggingFaceH4 / open_llm_leaderboard. like 8.44k. Building . App Files Files Community . 634 ...May 17, 2023 · The _call function makes an API request and returns the output text from your local LLM. Only two parameters you should are prompt and stop. The prompt is the input text of your LLM. The stop is the list of stopping strings, whenever the LLM predicts a stopping string, it will stop generating text. Now, we will do the main task: make an LLM agent. Barbecue is a classic American cuisine that has been around for centuries. It’s a delicious way to enjoy a meal with friends and family, and it’s even better when you can find the ...Do not use instruction mode to write stories. Instead, start with an empty prompt (e.g. "Default" tab in text-generation-webui with the input field cleared), and write something like this: The Secret Portal. A young man enters a portal that he finds in his garage, and is transported to a faraway world full of exotic creatures, dangers, and ...While today you support GPT-3.5 & GPT-4, it would be great if we could point Cursor to a local LLM on the machine that has been specifically tuned on a particular codebase (s). Agree this would be great, for flying also. For the time being I use Continue with codellama which is pretty impressive for offline/local.ollama list. To remove a model, you’d run: ollama rm model-name:model-tag. To pull or update an existing model, run: ollama pull model-name:model-tag. Additional Ollama commands can be found by running: …Open Powershell as an administrator: Type in “Powershell” in the search bar. Make sure to click on “Run as Administrator”. Then, when the console opens up, type this: wsl --install. This will install WSL on your machine. This will allow you to run several different flavors of Linux from within Windows.OpenAI API Token: Get an OpenAI API token here. 1. Load data into pandas DataFrame. The first step is to load and persist user data into a pandas DataFrame. For smaller datasets, it is good practice to persist the data. Users can upload files with various extensions from the list above.Some law degree abbreviations are “LL.B.” or “B.L.” for Bachelor of Law and “J.D.” for Juris Doctor. Other abbreviations are “LL.D.,” which stands for “Legum Doctor,” equivalent to...The first time I started researching local LLMs, I was surprised by their community. A ton of LLMs are released on Huggingface. Many Github repositories, Reddit posts, and YouTube videos about local LLMs appear daily. It is a young and enthusiastic community. However, I found it kind of hard for a beginner to catch up on all things about …Offline build support for running old versions of the GPT4All Local LLM Chat Client. September 18th, 2023: Nomic Vulkan launches supporting local LLM inference on AMD, Intel, Samsung, Qualcomm and NVIDIA GPUs. August 15th, 2023: GPT4All API launches allowing inference of local LLMs from docker containers.Feb 25, 2024 ... ai #genai #llm #langchain #llamaindex #ollama #aimodels https://github.com/ollama/ollama Ollama is a free application for locally running ...Alternatively, hit Windows+R, type msinfo32 into the "Open" field, and then hit enter. Look at "Version" to see what version you are running. This command will enable WSL, download and install the lastest Linux Kernel, use WSL2 as default, and download and install the Ubuntu Linux distribution. 3. In this example, the LLM produces an essay on the origins of the industrial revolution. $ minillm generate --model llama-13b-4bit --weights llama-13b-4bit.pt --prompt "For today's homework assignment, please explain the causes of the industrial revolution." Aug 15, 2023 · 1. Open your terminal. 2. Navigate to the directory where you want to clone the llama2 repository. Let's call this directory llama2. 3. Clone the llama2 repository using the following command: git ... Mar 19, 2023 · ChatGPT's ancestor GPT-2 jammed into 1.25GB Excel sheet — LLM runs inside a spreadsheet that you can download from GitHub OpenAI aims to make its own AI processors — chip venture in talks with ... This guide aims to help you get set up using SillyTavern with a local AI running on your PC (we'll start using the proper terminology from now on and call it an LLM). Read it before bothering people with tech support questions. # Hardware requirements and orientation. This is a complex subject, so I'll stick to the essentials and generalize.Start up the LLM with: ./TinyLlama-1.1B-Chat-v1.0.Q5_K_M.llamafile. Then, in a different window, start the voice assistant software: python3 chatbot.py. Wait a few seconds until you see the "Ready..." message, then press the button when you want to talk. When you see the "recording" message, speak your request.10 Best Interfaces for Running Local Large Language Models (LLMs): Faraday.dev: Rating: 5/5; Key Features: Offline operation, local storage, cross-platform support. Suitable for: Users without coding knowledge, privacy-conscious users. local.ai: Rating: 4/5; Key Features: Open-source, efficient memory utilization, cross-platform.Apple M2 Pro with 12‑core CPU, 19‑core GPU and 16‑core Neural Engine 32GB Unified memory. 6. Apple M2 Max with 12‑core CPU, 30‑core GPU and 16‑core Neural Engine 32GB Unified memory. 41. Apple M2 Max with 12‑core CPU, 38‑core GPU and 16‑core Neural Engine 32GB Unified memory. Voting closed 6 months ago.Feb 17, 2024 ... In this video we are covering the exciting and constantly growing field of open source LLMs. We have really useful tools that have sprung up ...Less censorship: Local LLMs offer the freedom to discuss thought-provoking topics without the restrictions imposed on public chatbots, allowing for more open conversations. Better data privacy: By using a local LLM, all the data generated stays on your computer, ensuring privacy and preventing access by companies running publicly …Run a Local LLM Using LM Studio on PC and Mac. 1. First of all, go ahead and download LM Studio for your PC or Mac from here . 2. Next, run the setup file and LM Studio will open up. 3. Next, go to the “search” tab and find the LLM you want to install. You can find the best open-source AI models from our list.LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families and architectures. ... LLM: docker run -ti -p 8080:8080 localai/localai:v2.9. ...Chat with RTX is a demo app that lets you personalize a GPT large language model (LLM) connected to your own content—docs, notes, videos, or other data. Leveraging retrieval-augmented generation (RAG), TensorRT-LLM, and RTX acceleration, you can query a custom chatbot to quickly get contextually relevant answers.Obsidian Local LLM is a plugin for Obsidian that provides access to a powerful neural network, allowing users to generate text in a wide range of styles and formats using a local LLM from the LLAMA family.Learn how to connect and collaborate with other AI agents in CrewAI, a framework that simplifies multi-agent systems for engineers.Using a local LLM# LlamaIndex doesn’t just support hosted LLM APIs; you can also run a local model such as Llama2 locally. For example, if you have Ollama installed and running: from llama_index.llms.ollama import Ollama from llama_index.core import Settings Settings. llm = Ollama (model = "llama2", request_timeout = 60.0)Apple M2 Pro with 12‑core CPU, 19‑core GPU and 16‑core Neural Engine 32GB Unified memory. 6. Apple M2 Max with 12‑core CPU, 30‑core GPU and 16‑core Neural Engine 32GB Unified memory. 41. Apple M2 Max with 12‑core CPU, 38‑core GPU and 16‑core Neural Engine 32GB Unified memory. Voting closed 6 months ago.While today you support GPT-3.5 & GPT-4, it would be great if we could point Cursor to a local LLM on the machine that has been specifically tuned on a particular codebase (s). Agree this would be great, for flying also. For the time being I use Continue with codellama which is pretty impressive for offline/local.379 upvotes · 118 comments. r/LocalLLaMA. "Claude 3 > GPT-4" and "Mistral going closed-source" again reminded me that open-source LLMs will never be as capable and powerful as closed-source LLMs. Even the costs of open-source (renting GPU servers) can be larger than closed-source APIs.It’s basically a local ChatGPT interface, if you will. Together, these two pieces of open-source software provide what I feel is the best locally hosted LLM experience right now. Both Ollama and Ollama Web UI support VLMs like LLaVA too, which opens up even more doors for this edge Generative AI use case. Technical Requirements:robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities. - …Are you looking for a new place to call home? Whether you’re moving to a new city or just looking for a change of scenery, exploring local apartments is a great way to find the per...解説. ChatGPT API互換サーバを作る場合、自分でlocal LLMをラップしてAPIサーバを実装してしまうことも考えられますが、そんなことをしなくても簡単に以下の方法でlocal LLMをChatGPT API互換サーバとしてたてることが可能です。. text-generation-webuiを使ってlocal LLMを ...Are you looking for a fun and engaging way to connect with other book lovers in your area? Joining a local book club is the perfect way to do just that. Here are some tips on how t...Are you looking to sell your furniture but don’t know where to start? Finding the best local furniture buyers in your area can be a daunting task, but with the right tips and trick...This guide aims to help you get set up using SillyTavern with a local AI running on your PC (we'll start using the proper terminology from now on and call it an LLM). Read it before bothering people with tech support questions. # Hardware requirements and orientation. This is a complex subject, so I'll stick to the essentials and generalize.Using, vicuna 1.1 7B q5_1, I was able to step up to 14 layers without exceeding the 4.2 GB threshold from last run, and got 173 ms/token, or about 260 words/minute (again, using 2 threads), which is ChatGPT-esque speeds. I would recommend Guanaco, but unfortunately that family of models doesn't seem super promising with coding ( source) and is ...A reference project that runs the popular continue.dev plugin entirely on a local Windows PC, with a web server for OpenAI Chat API compatibility. RAG on Windows using TensorRT-LLM and LlamaIndex. The RAG pipeline consists of the Llama-2 13B model, TensorRT-LLM, LlamaIndex, and the FAISS vector search library.Although LLM inference providers often talk about performance in token-based metrics (e.g., tokens/second), these numbers are not always comparable across model types given these variations. For a concrete example, the team at Anyscale found that Llama 2 tokenization is 19% longer than ChatGPT tokenization (but still has a much …There are so many options when it comes to catering. But where to start? Whether you’re looking for service for a wedding or other event, here’s how to find the best local catering...local-llm Star Here are 21 public repositories matching this topic... Language: All Sort: Most stars langroid / langroid Sponsor Star 1.2k Code Issues Pull requests …OpenAI API Token: Get an OpenAI API token here. 1. Load data into pandas DataFrame. The first step is to load and persist user data into a pandas DataFrame. For smaller datasets, it is good practice to persist the data. Users can upload files with various extensions from the list above.What is LLM Fine-Tuning. Model fine tuning is a process where a pre-trained model, which has already learned some patterns and features on a large dataset, is further trained (or "fine tuned") on a smaller, domain-specific dataset. In the context of "LLM Fine-Tuning," LLM refers to a "Large Language Model" like the GPT series from OpenAI.Oobabooga WebUI, koboldcpp, in fact, any other software made for easily accessible local LLM model text generation and chatting with AI models privately have similar best-case scenarios when it comes to the top consumer GPUs you can use with them to maximize performance.Here is my benchmark-backed list of 6 graphics cards I found …Local LLM inference & management server with built-in OpenAI API: 28: 2: 0: 1: 0: GNU Affero General Public License v3.0: 40 days, 3 hrs, 48 mins: 67: GPT-Sequencer: A chatbot for local gguf llm models with easy sequencing via csv file. A toy tool for everyone to build advanced prompt engineering sequences. 6: 0: 0: 1: 0: MIT License: 10 days ...Offline build support for running old versions of the GPT4All Local LLM Chat Client. September 18th, 2023: Nomic Vulkan launches supporting local LLM inference on AMD, Intel, Samsung, Qualcomm and NVIDIA GPUs. August 15th, 2023: GPT4All API launches allowing inference of local LLMs from docker containers. Do not use instruction mode to write stories. Instead, start with an empty prompt (e.g. "Default" tab in text-generation-webui with the input field cleared), and write something like this: The Secret Portal. A young man enters a portal that he finds in his garage, and is transported to a faraway world full of exotic creatures, dangers, and ... Mistral 7b is a 7-billion parameter large language model (LLM) developed by Mistral AI. It is trained on a massive dataset of text and code, and it can perform a variety of tasks.Mar 17, 2023 · This will install the model on your local computer. I know, it’s almost to easy to be true. Be aware that the LLaMA-7B takes up around 31GB on your computer, so make sure you have some space left. For self-deployment, on cloud or on premise, using either TensorRT-LLM or vLLM, head on to Deployment; For research, head-on to our reference implementation repository, For local deployment on consumer grade hardware, check out the llama.cpp project or Ollama. Get Help Join our Discord community to discuss our models and talk to our engineers.Join us to discuss vLLM and LLM serving! We will also post the latest announcements and updates there. [2023/09] We released our PagedAttention paper on arXiv! [2023/08] We would like to express our sincere gratitude to Andreessen Horowitz (a16z) for providing a generous grant to support the open-source development and research of vLLM.That said, here's how you can use the command-line version of GPT Pilot with your local LLM of choice: Set up GPT-Pilot. Install an local API proxy (see below for choices) Edit .env file in gpt-pilot/pilot/ directory (this is the file you would have to set up with your OpenAI keys in step 1), to set OPENAI_ENDPOINT and OPENAI_API_KEY to ...An alternative is to create your own private large language model (LLM) that interacts with your local documents, providing control over data and privacy. ChatGPT is a convenient tool, but it has downsides such as privacy concerns and reliance on internet connectivity. An alternative is to create your own private large language model (LLM) that ... To run a local LLM, you will need an inference server for the model. This project recommends two options: vLLM and llama-cpp-python. Both provide a built-in OpenAI API compatible web server that will make it easier for you to integrate with other tools. Do not use instruction mode to write stories. Instead, start with an empty prompt (e.g. "Default" tab in text-generation-webui with the input field cleared), and write something like this: The Secret Portal. A young man enters a portal that he finds in his garage, and is transported to a faraway world full of exotic creatures, dangers, and ... Using, vicuna 1.1 7B q5_1, I was able to step up to 14 layers without exceeding the 4.2 GB threshold from last run, and got 173 ms/token, or about 260 words/minute (again, using 2 threads), which is ChatGPT-esque speeds. I would recommend Guanaco, but unfortunately that family of models doesn't seem super promising with coding ( source) and is ... With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant. In addition, the models can be used to …The TinyLLM Chatbot is a simple web based python flask app that allows you to chat with an LLM using the OpenAI API. It supports multiple sessions and remembers your conversational history. Some RAG (Retrieval Augmented Generation) features including: Summarizing external websites and PDFs (paste a URL in chat window)Now Nvidia has launched its own local LLM application—utilizing the power of its RTX 30 and RTX 40 series graphics cards—called Chat with RTX. If you have one of these GPUs, you can install a ...If you’ve decided to welcome a live tortoise into your home, you may be wondering where to find one. While there are various online options available, exploring local options can o...May 25, 2023 ... ... local llm · reptar August 11, 2023, 1:57pm 11. Have you tested it out? I'm about to give it a spin! EDIT: I can't seem to get that one working.GPT4All is a large language model (LLM) chatbot developed by Nomic AI, the world’s first information cartography company. It was fine-tuned from LLaMA 7B model, the leaked large language model from Meta (aka Facebook). GPT4All is trained on a massive dataset of text and code, and it can generate text, translate languages, write different ...Are you considering raising chickens in your backyard? If so, one of the first steps is finding a reliable source for live chickens. While it may seem challenging to find local sel...1. Go to Ollama and follow the instructions to serve a LLM model on your local environment. 📄️ Gemini. 1. Create an account on Google AI and get your API key. 📄️ QWen. 1. QWen (Tongyi Qianwen) is a LLM developed by Alibaba. Go to QWen and register an account and get the API key. More details can be found here (in Chinese). 📄️ GLM. 1.Learn how to download and run popular open source LLMs like LLaMA, Llama-2, Vicuna, and WizardLM on your computer. Compare models by parameters, …Depends what you mean by "local". If you mean in your own home, then there isn't a particularly cheap way unless you have a decent spare machine. ... - Be able to access your local LLM without an Internet connection. - Feed it custom data and prompt sets for GPTs-like functionality without paying OpenAI $20/month. I mostly use Ollama, …Private Chatbot with Local LLM (Falcon 7B) and LangChain; Private GPT4All: Chat with PDF Files; 🔒 CryptoGPT: Crypto Twitter Sentiment Analysis; 🔒 Fine-Tuning LLM on Custom Dataset with QLoRA; 🔒 Deploy LLM to Production; 🔒 Support Chatbot using Custom Knowledge; 🔒 Chat with Multiple PDFs using Llama 2 and LangChain
May 25, 2023 ... ... local llm · reptar August 11, 2023, 1:57pm 11. Have you tested it out? I'm about to give it a spin! EDIT: I can't seem to get that one working.. Mazerlazer
Learn how to connect and collaborate with other AI agents in CrewAI, a framework that simplifies multi-agent systems for engineers.If you’ve decided to welcome a live tortoise into your home, you may be wondering where to find one. While there are various online options available, exploring local options can o...Sep 13, 2023 ... Are you also worried about data privacy and do not want to share your data outside your defined boundaries? Then this video is for you where ...The TinyLLM Chatbot is a simple web based python flask app that allows you to chat with an LLM using the OpenAI API. It supports multiple sessions and remembers your conversational history. Some RAG (Retrieval Augmented Generation) features including: Summarizing external websites and PDFs (paste a URL in chat window)Local-LLM. Local-LLM is a simple llama.cpp server that easily exposes a list of local language models to choose from to run on your own computer. It is designed to be as easy as possible to get started with running local models. It automatically handles downloading the model of your choice and configuring the server based on your CPU, …Dec 18, 2023 · First, install Docker Desktop on your Windows machine by going to the Docker website and clicking the Download for Windows button. 2. On the installed Docker Desktop app, go to the search bar and ... This is a client-side LLM running entirely in the browser. The ability to run an LLM (natural language AI) directly in-browser means more ways to implement local AI while enjoying GPU acceleration ...To run a local LLM, you will need to install the necessary software and download the model files. Once you have done this, you can start the model and use it to generate text, translate languages ...LLM. A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine. Run prompts from the command-line, store the results in SQLite, generate embeddings and more. Full documentation: llm.datasette.io. Background on this project:Catch local news happening now by watching your favorite local news online. The latest local news is available on tons of websites, making it easy for you to keep up with everythin...Sep 14, 2023 ... Live Coding in Rust: Unleash the Power of Systems Programming Delve deep into the Rust ecosystem with this groundbreaking live coding series ...Learn how to download and run popular open source LLMs like LLaMA, Llama-2, Vicuna, and WizardLM on your computer. Compare models by parameters, …🎯 Streamline deployment: Automatically generate your LLM server Docker images or deploy as serverless endpoints via ☁️ BentoCloud, which effortlessly manages GPU resources, scales according to traffic, and ensures cost-effectiveness. 🤖️ Bring your own LLM: Fine-tune any LLM to suit your needs. You can load LoRA layers to fine-tune ...local-llm Star Here are 21 public repositories matching this topic... Language: All Sort: Most stars langroid / langroid Sponsor Star 1.2k Code Issues Pull requests …Cost efficiency is another vital benefit of employing open-source LLMs. For small-scale use (thousands of requests/day), the OpenAI's ChatGPT API is relatively cost-effective at around $1.30/day. For large-scale use (millions of requests/day), it can quickly rise to $1,300/day. In contrast, open-source LLMs on an NVIDIA A100 cost approximately ....