Ollama windows amd gpu
Ollama windows amd gpu. Start chatting! Mar 13, 2024 · I'm eager to explore the new Windows ROCm compatibility feature, but I'm encountering an issue with forcing the GFX version. Could someone please assist me and provide any workarounds to make this AMD GPU RX 6600 function? Please provide step-by-step instructions specific Nov 18, 2023 · Now, you should have a functional version of ollama that utilizes your AMD GPU for computation. Learn more Apr 5, 2024 · Ollama now allows for GPU usage. Run Ollama inside a Docker container; docker run -d --gpus=all -v ollama:/root/. GPU. 7z, replacing the files in the Ollama folder. AMD Radeon RX. md or similar for the project – will do that soon). $ ollama run llama3 "Summarize this file: $(cat README. New Models. To enable GPU support, you'll need to install the appropriate drivers for your graphics card. Make sure “ GPU Offload ” is selected and the slider is all the way to the right Users with Radeon cards would like to be able to take advantage of the new native windows app and not have to resort to WSL2 to get support for their AMD GPUs. Windows Support. recently update to the newest version (0. - ollama/gpu/amd_windows. Apr 16, 2024 · 好可愛的風格 >< 如何安裝. Mar 18, 2024 · What is the issue? I have restart my PC and I have launched Ollama in the terminal using mistral:7b and a viewer of GPU usage (task manager). $ ollama run llama3. Ollama is by far my favourite loader now. There is already the support on Linux, based o Feb 27, 2024 · Today we're gonna test ollama (just like previous article) with AMD GPU, to do this you'll need to run docker, for example using this docker compose file: Get up and running with Llama 3, Mistral, Gemma, and other large language models. 27) docker image with ROCm works for me on Ryzen 5600G with 8GB VRAM allocation. In some cases you can force the system to try to use a similar LLVM target that is close. The two MI100s needed the new option or it crashed and the W6800s crashed with it enabled. By default, running go generate . Hardware acceleration. 1, Mistral, Gemma 2, and other large language models. log. Download: Navigate to the Ollama Windows Preview page and initiate the download of the executable installer. OS. Windows® 10/11 Drivers. I'll go over this in step 8. 43 System specs: RYZEN 5950X 64GB DDR4-3600 AMD Radeon 7900 XTX Using latest (unreleased) version of Ollama (which adds AMD support). 9X improvement in performance on AMD Radeon™ RX 7900 XTX. Running on the optimized model with Microsoft Olive, the AMD Radeon RX 7900 XTX delivers18. 8 billion parameters with performance overtaking similarly and larger sized models. 34 on Win10. Go to ollama. com/en/developer You signed in with another tab or window. 6 Total amount of global memory: 12288 MBytes (12884377600 bytes) (080) Multiprocessors, (128) CUDA Cores/MP: 10240 CUDA What are you trying to do? Please support GPU acceleration using "AMD Ryzen 7 PRO 7840U w/ Radeon 780M Graphics" on Linux (Ubuntu 22. Prompt processing is 2x faster than with CPU. On Linux you can use a fork of koboldcpp with ROCm support, there is also pytorch with ROCm support. I see ollama ignores the integrated card, detects the 7900XTX but then it goes ahead and uses the CPU (Ryzen 7900). You signed in with another tab or window. Looks like it don't enables gpu support by default even if possible to use it, and I didn't found an answer yet how to enable it manually (just searched when found your question). I saw in gpu/gpu. Feb 7, 2024 · Ubuntu as adminitrator. Below are brief instructions on how to optimize the Llama2 model with Microsoft Olive, and how to run the model on any DirectML capable AMD graphics card with ONNXRuntime, accelerated via the DirectML platform API. Hermes 3: Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research, which includes support for tool calling. To initiate ollama in serve mode and run any supported model, follow these steps: + Start ollama in serve mode: Open a terminal and run the following command:. For use with systems running Windows® 11 / Windows® 10 64-bit version 1809 and later. md)" Ollama is a lightweight, extensible framework for building and running language models on the local machine. Software GPU 选择¶. Nov 15, 2023 · As we continue to further optimize Llama2, watch out for future updates and improvements via Microsoft Olive and AMD Graphics drivers. Scroll down until you see "Hardware Settings". cpp with IPEX-LLM on Intel GPU Guide, and follow the instructions in section Prerequisites to setup and section Install IPEX-LLM cpp to install the IPEX-LLM with Ollama binaries. 6 Nvidia GPU. dll and amdhip64. 34) and see if it discovered your GPUs correctly Mar 2, 2024 · For Mac, Linux, and Windows users, follow the instructions on the Ollama Download page to get started. Make sure AMD ROCm™ is being shown as the detected GPU type. 7900 XTX 7900 XT 7900 GRE 7800 XT 7700 XT 7600 XT 7600 6950 XT 6900 XTX 6900XT 6800 XT 6800 Vega 64 Vega 56 AMD Radeon PRO May 25, 2024 · Running Ollama on AMD GPU. Install the NVIDIA Container Toolkit. 33 and older 0. Running Ollama on AMD GPU If you have a AMD GPU that supports ROCm, you can simple run the rocm version of the Ollama image. On the same PC, I tried to run 0. I have asked a question, and it replies to me quickly, I see the GPU usage increase around 25%, Apr 19, 2024 · For users with AMD Radeon™ 7000 series graphics cards, there are just a couple of additional steps: 8. 8. Get up and running with Llama 3. After the installation, make sure the Ollama desktop app is closed. This translates to faster training times and smoother inference experiences. Jun 30, 2024 · Quickly install Ollama on your laptop (Windows or Mac) using Docker; Launch Ollama WebUI and play with the Gen AI playground; NVIDIA GPU — For GPU use, otherwise we’ll use the laptop’s CPU. go at main · ollama/ollama My environment is an internal offline network. Mar 14, 2024 · Ollama now supports AMD graphics cards in preview on Windows and Linux. Natural Language Processing. Windows. Feb 15, 2024 · Ollama is now available on Windows in preview, making it possible to pull, run and create large language models in a new native Windows experience. 32, it worked well with Zluda for my GPU (5700XT) follow the steps ollama_windows_10_rx6600xt_zluda. Jul 19, 2024 · This article will guide you through the process of installing and using Ollama on Windows, introduce its main features, run multimodal models like Llama 3, use CUDA acceleration, adjust system Ollama supports the following AMD GPUs: Linux Support. cpp can run some layers on the GPU and others on the CPU. 1 "Summarize this file: $(cat README. Ollama (a self-hosted AI that has tons of different models) now has support for AMD GPUs. iii. Ollama will run in CPU-only mode. This includes using the appropriate Docker image and configuring your system to allow GPU access. 32 side by side, 0. 37), the GPU isn' t being utilized anymore; tr May 5, 2024 · 2024年2月15日からWindowsプレビュー版が公開されています。 Windows10以上、NVIDIAもしくはAMDの GPUが必要。 Download Ollama on macOS Download Ollama on macOS ollama. Feb 16, 2024 · CPU: AMD 5500U with Radion internal GPU. Tried with fresh install of Ollama 0. Ehh, I tried the ROCM fork of koboldcpp and koboldcpp directly, and it seemed to be very slow, like 10tok/s. 33 is not. 3. Furthermore, ROCm runtime is available for RX 6600 XT but not HIP SDK which is apparently what is needed for my GPU to run LLMs. - xgueret/ollama-for-amd. 7z and OllamaSetup. Aug 4, 2024 · While it primarily leverages NVIDIA GPUs through CUDA, the world of open-source extends beyond NVIDIA. /ollama serve + Run a model May 12, 2024 · What is the issue? when I was using ollama 0. I am running the `mistral` model and it only uses the CPU even though the ollama logs show ROCm detected. 3. Ollama leverages the AMD ROCm library, which does not support all AMD GPUs. Usage: ollama [flags] ollama [command] Available Commands: serve Start ollama create Create a model from a Modelfile show Show information for a model run Run a model pull Pull a model from a registry push Push a model to a registry list List models cp Copy a model rm Remove a model help Help about any command Flags: -h, --help help for ollama -v, --version Show version information Use "ollama One of the simplest ways I've found to get started with running a local LLM on a laptop (Mac or Windows). Once that's done, running OLLAMA with GPU support is as simple as adding a --gpu flag to your command: Feb 18, 2024 · Thanks to llama. docker run -d --restart always --device /dev/kfd --device /dev/dri -v ollama:/root/. Get up and running with large language models. As result ollama reports in the log that GPU has 1GB of memory which is obvious too little. (still learning how ollama works) $ ollama run llama3 "Summarize this file: $(cat README. Mar 7, 2024 · I have a W6800, apparently windows version Ollama is running models on CPU rather than GPU. Once the GPUs are properly configured, the user can run Ollama with the --gpus flag, followed by a comma-separated list of the GPU device IDs. 3 CUDA Capability Major/Minor version number: 8. here my server. . 上記のインストールだけだとOllamaはGPUを使ってくれないかもしれません。 私の環境ではNVIDIA GeForce GTX1650が刺さっていたのですがドライバなど何もインストールしていなかったので（汗）GPUが全く使われていませんでした。 Oct 5, 2023 · docker run -d -v ollama:/root/. IPEX-LLM’s support for ollama now is available for Linux system and Windows system. ollama -p 11434:11434 --name ollama ollama/ollama Run a model. Sep 8, 2023 · Running on the default PyTorch path, the AMD Radeon RX 7900 XTX delivers1. May 29, 2024 · The first step is to install ROCm, an open-source stack, composed primarily of open-source software, designed GPU computation. Newer notebooks are shipped with AMD 7840U and support setting VRAM from 1GB to 8GB in the bios. Lists. I can try anything you want, just tell me what to do (recompile llama. Well, exllama is 2X faster than llama. Mar 1, 2024 · It's hard to say why ollama acting strange with gpu. AMD. Generation runs at max speed even if CPU is busy running other processes. End Result is up to 9. /deviceQuery . With ROCm v6. Aug 14, 2024 · It uses (not very actively) only one GPU; The CPU is also loaded in the server process (only a few cores), and the only way to exit this mode is to shut down with the power button. Attached are the logs from Windows, and Linux. Auto-Detect and Install Driver Updates for AMD Radeon™ Series Graphics and Ryzen™ Chipsets. 7-compatible libraries for many older AMD graphics cards including the 5700) and download the Sep 15, 2023 · Hi, To make run Ollama from source code with Nvidia GPU on Microsoft Windows, actually there is no setup description and the Ollama sourcecode has some ToDo's as well, is that right ? Here some thoughts. Currently, I'm using the 0. Visit Run llama. For AMD GPUs, utilize the rocm tag with the following command: Apr 23, 2024 · 准备部分 为了让AMD显卡支持Ollama大模型，我们需要完成以下准备工作。首先，请从AMD官网下载HIP SDK https://www. Overrides on Linux. 到 Ollama 的 GitHub release 上下載檔案、檔案名稱為 Quickstart# 1 Install IPEX-LLM for Ollama#. Aug 10, 2024 · The best part is that Ollama is available for all major platforms including Linux, Windows and macOS. 5 tokens/sec. cpp even when both are GPU-only. ollama -p 11434:11434 --name ollama ollama/ollama:rocm If your AMD GPU doesn't support ROCm but if it is strong enough, you can still For people, who haven't gotten a supported Graphics card (like me with a 6800M), you'd need to recompile tensile library. Will AMD GPU be supported? Feb 22, 2024 · Always-On API: Ollama's API runs quietly in the background, ready to elevate your projects with AI capabilities. What is ROCm? May 25, 2024 · This is not recommended if you have a dedicated GPU since running LLMs on with this way will consume your computer memory and CPU. Mar 6, 2024 · 6. CPU is AMD 7900x, GPU is AMD 7900xtx. by adding more amd gpu support. 1) with SAM on, to measure FPS in Call of Duty: Modern Warfare 2 (DX12, Extreme), The Callisto Protocol (DX11, Ultra), F1 22 We would like to show you a description here but the site won’t allow us. Check “GPU Offload” on the right-hand side panel. Feb 8, 2024 · My system has both an integrated and a dedicated GPU (an AMD Radeon 7900XTX). However, the documentation for Ollama says that my GPU is supported. Mar 16, 2024 · What are you trying to do? I have both NVIDIA and AMD cards on one PC. Ollama runs on CPU mode on both WSL2 and Windows. /deviceQuery Starting CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "NVIDIA GeForce RTX 3080 Ti" CUDA Driver Version / Runtime Version 12. Starting ollama and Creating a systemd Service. Ollama provides local LLM and Embeddings super easy to install and use, abstracting the complexity of GPU support. 5: A lightweight AI model with 3. Llama-3 meets Windows! Apr 25. go ollama tries to detect first NVIDIA and will not try AMD if it found NVIDIA. Install Ollama: Now, it’s time to install Ollama!Execute the following command to download and install Ollama on your Linux environment: (Download Ollama on Linux)curl May 11, 2024 · What is the issue? I'm having trouble using my AMD GPU RX 6600 on Windows 10 with Ollama. cpp runs quantized models, which take less space, and llama. May 2, 2024 · What is the issue? After upgrading to v0. To run Ollama using Docker with AMD GPUs, use the rocm tag and the following command: Apr 19, 2024 · If a GPU is not found, Ollama will issue a warning: WARNING: No NVIDIA GPU detected. Also running LLMs on the CPU are much slower than GPUs. cpp resulted in a lot better performance. Ollama does work, but GPU is not being used at all as per the title message. If you have an AMD Ryzen AI PC you can start chatting! a. cpp and ollama with IPEX-LLM 具体步骤为： 1、安… Testing done by AMD performance labs on March 5, 2023, on a test system configured with a Ryzen 9 7950X CPU, 32 GB DDR5-6000 Memory, Windows 11 Pro with an AMD Radeon RX 7900 XTX and 7900 XT graphics card (Driver 23. Our setup: Hardware & OS: See this link for a list of supported hardware and OS with ROCm. Move the slider all the way to “Max”. DDU the Nvidia Driver and installed AMD Ollama is installed on wsl on Windows 11 (Ubunut 22. log ollama-log-linux. / will compile a few different variations of the LLM library based on common CPU families and vector math capabilities, including a lowest-common-denominator which should run on almost any 64 bit CPU somewhat slowly. For example, to run Ollama with 4 GPUs, the user would use the following command: I was running all 4 at once but the change in llama. ai and follow the instructions to install Ollama on your machine. 2 / 12. To make Ollama use iGPU on AMD processors, you will need docker image variant than bundles ROCm, AMD's GPU compute stack. Oct 9, 2023 · After this I see in the log that ollama uses "GPU" but the caveat is that I don't have dedicated GPU. 33 and 0. ollama -p 11434:11434 --name ollama ollama/ollama Nvidia GPU. server. Install the Nvidia container toolkit. Nvidia. The benefit of multiple GPUs is access to more video memory, allowing for larger models or more of the model to be processed by the GPU. After transferring them to the internal network, I first install OllamaSetup and then extract ollama-windows-amd64. I've been using this for the past several days, and am really impressed. I think it got stuck using my integrated Ryzen graphics on Windows instead of my actual graphics card even though I select my 7800xt in the hardware list. 2. May 8, 2024 · We've adjusted the GPU discovery logic in 0. If everything has been installed and configured correctly, you would see these lines during the build configure process: AMD GPU support is definitely an important part of the project roadmap (sorry this isn't better published in a ROADMAP. cpp with the row split options ended that. amd. Software Apr 29, 2024 · By utilizing the GPU, OLLAMA can speed up model inference by up to 2x compared to CPU-only setups. A few of the maintainers of the project are from the Toronto area, the original home of ATI technologies [1], and so we personally want to see Ollama work well on AMD GPUs :). Feb 15, 2024 · 👋 Just downloaded the latest Windows preview. 5. I verified that ollama is using the CPU via `htop` and `nvtop`. Ollama now supports AMD graphics cards March 14, 2024. However, none of my hardware is even slightly in the compatibility list; and the publicly posted thread reference results were before that feature was released. dll are available on Windows. Both nvml. 目前 ollama 支援各大平台，包括 Mac、Windows、Linux、Docker 等等。 macOS 上. Download and run directly onto the system you want to update. I'm on Lenovo T14 Gen4 which has integrated videocard (AMD Ryzen 7 PRO 7840U w/ Radeon 780M Graphics). With the new release 0. Today, I’ll show you how to harness the power of an AMD RX 6700 GPU with ROCm to run Ollama, bringing powerful AI capabilities within reach of a wider range of users. Click on "Advanced Configuration" on the right hand side. Tried to install HIP (AMD-Soft Jun 29, 2024 · Installing Ollama for Windows; Head over to the rocblas github repository (which maintains ROCm 5. The ollama-cuda and ollama-rocm packages are much larger than the ollama package. ii. 1 Stable Diffusion XL on AMD Radeon Graphics Cards Unfortunately, the official ROCm builds from AMD don't currently support the RX 5700 XT. It is similar to CUDA, but tailored specifically for AMD GPUs. ; Phi 3. The test is simple, just run this singe line after the initial installation of Ollama and see the performance when using Mistral to ask a basic question: Nov 27, 2023 · If you are running ollama on a machine with multiple GPUs, inference will be slower than the same machine with one gpu but it will still be faster than the same machine with no gpu. Using Windows 11, RTX 2070 and latest Nvidia game ready drivers. edit: the default context for this model is 32K, I reduced this to 2K and offloaded 28/33 layers to GPU and was able to get 23. go:177 msg="CPU does not have AVX or AVX2, disabling GPU support. Windows does not have ROCm yet, but there is CLBlast (OpenCL) support for Windows, which does work out of the box with "original" koboldcpp. Can you all please try pulling the latest ollama/ollama image (or use the explicit tag ollama/ollama:0. It’s the recommended setup for local development. 59 iterations/second. This is possible, because, llama. com it is able to use my GPU but after rebooting it no longer is able to find the GPU giving the message: CUDA driver version: 12-5 time=2024-06-11T11:46:56. iv. Install with Apt. Now you can run a model like Llama 2 inside the container. I have AMD processor, so these instructions are AMD-only. Download and Installation. 目前国内还没有完整的教程，我刚好装完了，就把过程记录一下，可能不完整，不过有点英文基础的话，可以直接参考这篇文章 Run Llama 3 on Intel GPU using llama. 1. Dec 20, 2023 · For Arch Linux, the ollama package just uses the CPU and uses less disk space (useful in combination with Docker and in the cloud), while ollama-cuda comes with support for NVIDIA GPUs / CUDA and ollama-rocm comes with support for AMD GPUs / ROCm. To run Ollama, there are a few key prerequisites: System Requirements: RAM: 8GB for 3B models, 16GB for 7B models, 32GB for 13B models; GPU (Optional): An NVIDIA or AMD GPU with compute capability 5+ is recommended for optimal performance. 33, Ollama no longer using my GPU, CPU will be used instead. May 27, 2024 · How you run Ollama with GPU support depends on GPU vendor. Feb 1, 2024 · This example leverages two GCDs (Graphics Compute Dies) of a AMD MI250 GPU and each GCD are equipped with 64 GB of VRAM. My current process is to first enter the ollama-for-amd project, then download ollama-windows-amd64. 544-07:00 level=DEBUG sou Jul 23, 2024 · $ ollama run llama3 "Summarize this file: $(cat README. Ollama version. Precompiled Version (Recommended) To make it easier for you, a precompiled version of Ollama is available for download and installation from here . You switched accounts on another tab or window. Feb 21, 2024 · Latest (0. Ollama's integration with ROCm allows you to utilize the raw power of your AMD graphics card for running LLMs. cpp or something else). Wi Mar 3, 2024 · Ollama on Windows includes built-in GPU acceleration, access to the full model library, and the Ollama API including OpenAI compatibility. 34 to use a different nvidia library - the Driver API, which should hopefully make it more reliable. CPU. Ollama now supports AMD graphics cards in preview on Windows and Linux. Step-by-Step: Installing Ollama on Windows 1. 12 votes, 11 comments. And GPU+CPU will always be slower than GPU-only. Jun 8, 2024 · Recently, I took a chance to explore ollama project, because I want to enable the support of my AMD graphic card (with a not bad VRAM - 32G!) on Windows. 04). Dec 10, 2023 · . log May 8, 2024 · What is the issue? The Ollama lists Vega64 in the announcement, but running it says it's not supported. 9. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. 如果您的系统中有多个 AMD GPU 并且希望限制 Ollama 使用的子集，您可以将 HIP_VISIBLE_DEVICES 设置为 GPU 的逗号分隔列表。您可以使用 rocminfo 查看设备列表。如果您想忽略 GPU 并强制使用 CPU，请使用无效的 GPU ID（例如，“-1”） 容器权限¶ The compatibility matrix is quite complex for both AMD and NVIDIA graphics cards, and completely agree: there is a lot of work to do, but the hope is to gracefully fall back to older cards. This guide explains how to set up and run Ollama on Windows using an AMD RX 6600 GPU. Download. cpp, Ollama can run quite large models, even if they don’t fit into the vRAM of your GPU, or if you don’t have a GPU, at all. Previously, it only ran on Nvidia GPUs, which are generally more expensive than AMD cards. exe from version 0. But wait, there's more! Benefits of AMD + ROCm for Ollama: Dec 18, 2023 · You signed in with another tab or window. " OS. Reload to refresh your session. Using this setup allows us to explore different settings for fine-tuning the Llama 2–7b weights with and without LoRA. docker exec Before diving into optimization techniques, it's essential to understand the factors that influence Ollama's performance: Hardware capabilities (CPU, RAM, GPU) Model size and complexity; Quantization level; Context window size; System configuration and settings; By addressing these factors, we can significantly improve Ollama's speed and When running ollama, the cpu is always running at full load, but the gpu usage is very low, and my graphics card is amd 6750gre Reply reply Top 8% Rank by size Download Ollama on Windows To leverage GPU acceleration in Docker for running Ollama, you need to ensure that your environment is properly set up. 29 pre-release. Whether you're interested in starting in open source local models, concerned about your data and privacy, or looking for a simple way to experiment as a developer Jun 11, 2024 · What is the issue? After installing ollama from ollama. true. If you have a AMD GPU that supports ROCm, you can simple run the rocm version of the Ollama image. 87 iterations/second. 0. 32 can run on GPU just fine while 0. EDIT: While ollama out-of-the-box performance on Windows was rather lack lustre at around 1 token per second on Mistral 7B Q4, compiling my own version of llama. More discussion on HN here. Jan 30, 2024 · I have installed `ollama` from the repo via `pacman` as well as the ROCm packages `rocm-hip-sdk rocm-opencl-sdk`. Ollama supports GPU acceleration on Nvidia, AMD, and Apple Metal, so you can harness the power of your local hardware. com ダウンロード画面 選択権は無く下記にインストールされる。 Jun 14, 2024 · True, ), I have Nvidia 1050 ti and I am trying to runn llama3 8B model, i found this warning in ollamam server log "level=WARN source=gpu. they still speed up inference quite a bit when they do work! Ollama (a self-hosted AI that has tons of different models) now has support for AMD GPUs. If you have an AMD Radeon™ graphics card, please: i. 1, the following GPUs are supported on Windows. Docker Desktop for Windows supports WSL 2 GPU Paravirtualization (GPU-PV) on NVIDIA GPUs. The only reason to offload is because your GPU does not have enough memory to load the LLM (a llama-65b 4-bit quant will require ~40GB for example), but the more layers you are able to run on GPU, the faster it will run. Ollama is a lightweight, extensible framework for building and running language models on the local machine. It's a separate image, because ROCm adds 4GB to image size (no kidding). Ollama on Windows includes built-in GPU acceleration, access to the full model library, and serves the Ollama API including OpenAI compatibility. You signed out in another tab or window. 04) What am I missing as this should be a supported gpu? May 15, 2024 · This typically involves installing the appropriate drivers and configuring the GPU devices in the Ollama configuration file. To enable WSL 2 GPU Paravirtualization, you need: A machine with an NVIDIA GPU; Up to date Windows 10 or Windows 11 installation; Up to date drivers from NVIDIA supporting WSL 2 GPU Paravirtualization; The latest version of the WSL 2 Linux kernel. 29, we'll now detect this incompatibility, and gracefully fall back to CPU mode and log some information in the server log about what happened. May 26, 2024 · Ollama Meets AMD GPUs A Match Made in Compute Heaven. Apr 20, 2024 · I wish to make use of my RX 6600 XT GPU but apparently the workaround is only on Linux. All the features of Ollama can now be accelerated by AMD graphics cards on Ollama for Linux and Windows. Setup NVidia drivers 1A. Windows preview. ithl ntyx pscrbtu illfgy teyt knte hguebo fqy vpte msulxlo
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