Ollama disable gpu

Ollama disable gpu. For example: sudo rm /usr/local/bin/ollama If the script created a systemd service, disable and remove it: If th Mar 22, 2024 · I imagine Ollama is sending commands to both the GPU and CPU. It provides a user-friendly approach to Nov 24, 2022 · There are (at least) three things required for GPU accelerated rendering under WSL: A recent release of WSL (which you clearly have): A WSL2 kernel with dxgkrnl support; Windows drivers for your GPU with support for WDDM v2. Start the Settings (Windows 11) or Control Panel (Windows 10) application and search for environment variables. 3. so. In another terminal window, execute the command. You can specify thread count as well. 34 with or without OLLAMA_DEBUG enabled. 5, and convert it to GGUF format under the instruction from the official repository: htt $ ollama run llama3 "Summarize this file: $(cat README. To enable WSL 2 GPU Paravirtualization, you need: The latest version of the WSL 2 Linux kernel. Would be great to prioritize using the first GPU only, if it alone has enough VRAM to fit the model. On Windows, Ollama inherits your user and system environment variables. 22631 N/A compilação 22631 Fabricante do sistema operacional: Microsoft Corporation Configuração do SO: Estação de trabalho autônoma Tipo de compilação do sistema operacional: Multiprocessor Free Proprietário registrado: otavioasilva@hotmail. g. The steps to reproduce; You signed in with another tab or window. Nov 18, 2023 · 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: . 我们以 Ubuntu22. ollama -p 11434:11434 This installation method uses a single container image that bundles Open WebUI with Ollama, allowing for a streamlined setup via a single command. CUDA_VISIBLE_DEVICES=1 ollama serve. I believe the choice was made in order to reduce the number of permutations they have to compile for. 15. 5 but still not merged. 5-q5_K_M (23gb) and if that doesn't run fast then try qwen:32b-chat-v1. You signed out in another tab or window. Dec 21, 2023 · ollama tries to split the load among both, but due to communication speed between the cards being significantly slower than within a GPU, this is counterproductive. Oct 3, 2023 · To start it manually, we use this command: sudo systemctl start ollama. 4. They can even use your CPU and regular RAM if the whole thing doesn't fit in your combined GPU memory. 27) docker image with ROCm works for me on Ryzen 5600G with 8GB VRAM allocation. /ollama run model-name. I get this warning: 2024/02/17 22:47:44 llama. It provides a container runtime library and utilities I'm trying to use ollama from nixpkgs. 50GHz. The Ollama Docker container can be run in different modes, depending on whether you want to utilize the CPU or GPU. Following the setup instructions for Linux, Ollama installed fine but printed the following: WARNING: No NVIDIA GPU detected. md at main · ollama/ollama Apr 19, 2024 · Open WebUI UI running LLaMA-3 model deployed with Ollama Introduction. 安装英伟达容器安装包. Unfortunately, the response time is very slow even for lightweight models like tinyllama. Get up and running with Llama 3, Mistral, Gemma, and other large language models. This was foreshadowing for everything to follow. Oct 16, 2023 · @Syulin7 Both the GPU and CUDA drivers are older, from Aug. ️ 5 gerroon, spood, hotmailjoe, HeavyLvy, and RyzeNGrind reacted with heart emoji 🚀 2 ahmadexp and RyzeNGrind reacted with rocket emoji Docker Desktop for Windows supports WSL 2 GPU Paravirtualization (GPU-PV) on NVIDIA GPUs. Window preview version. int: num_gpu 50: num_thread: Sets the number of threads to use during computation. 1 day ago · What is the issue? As I served my VL models, It can not work correctly. 70 GHz. Just before doing this the model was loaded onto the CPU. But using ollama, the above log is displayed. ollama -p 114 Mar 14, 2024 · To get started with Ollama with support for AMD graphics cards, download Ollama for Linux or Windows. /ollama serve. I still see high cpu usage and zero for GPU. Usage: ollama [flags] ollama [command] Available Commands: serve Start ollama. Then I built the Llama 2 on the Rocky 8 system. Share. I've ran an L4 and T4 together. Ollama runs on CPU mode on both WSL2 and Windows. If reducing the # of permutations is the goal, it seems more important to support GPUs on old CPUs than it does to support CPU-only inference on old CPUs (since it is so slow). They don't need to be identical. I just upgraded to 0. 65 bits within 8 GB of VRAM, although currently none of them uses GQA which effectively limits the context size to 2048. On Linux. Launch MSYS2 from installer upon installation completion and run pacman -S --needed base-devel mingw-w64-ucrt-x86_64-toolchain to install default list. Nov 11, 2023 · I have a RTX 3050 I went through the install and it works from the command-line, but using the CPU. Ollama on Windows includes built-in GPU acceleration, access to the full model library, and serves the Ollama API including OpenAI compatibility. Follow. Then, add execution permission to the binary: chmod +x /usr/bin/ollama. Results: The author found that using the GPU for these computations resulted in a significant speedup in token generation, particularly for smaller models where a larger percentage of the model could fit into VRAM. Through Ollama/LM Studio, individual users can call different quantized models at will. Here's how to disable integrated graphics on Windows 11: Press Windows + X to open the "Power User Menu" Select Device Manager Double-click Display adapters to open the drop-down menu Right-click on the integrated graphics Select Disable device Click Yes to confirm According to journalctl the "CPU does not have AVX or AVX2", therefore "disabling GPU support". Do one more thing, Make sure the ollama prompt is closed. If you ever used ChatGPT, Perplexity or any other commercial AI tool, you probably are familiar with this interface. 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. If multiple GPUs are present then the work will be divided evenly among Apr 23, 2024 · More users prefer to use quantized models to run models locally. May 27, 2024 · If you want to run 13-20B models, you will need to reserve 16GB of RAM as VRAM. The memory is combined. It seems that Ollama is in CPU-only mode and completely ignoring my GPU (Nvidia GeForce GT710). Anytime you make changes to the Modelfile re-run this command. Running Ollama Docker. /Modelfile. Here's the output from `nvidia-smi` while running `ollama run llama3:70b-instruct` and giving it a prompt: 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. During that run the nvtop command and check the GPU Ram utlization. Memory: 128GB SSD. Apr 18, 2024 · Without restarting the Ollama service. Then in command prompt console write "SET CUDA_VISIBLE_DEVICES", then "ollama serve". 04 为例（其他系统请参考： 英伟达官方文档 ）. 使用 GPU 运行 Ollama. service and then reboot the machine, the process gets added to the auto-start again. Yes multi-GPU is supported. " Oct 5, 2023 · We recommend running Ollama alongside Docker Desktop for macOS in order for Ollama to enable GPU acceleration for models. I see the same with a AMD GPU on Linux. With ollama/ollama, you can easily create and manage OLLA containers, scan files and URLs, and view the analysis results. o any problems as in gpu mostly above 90%. It allows for GPU acceleration as well if you're into that down the road. First Quit Ollama by clicking on it in the task bar. go:262: 5899 MB VRAM available, loading up to 5 GPU layers 2024/02/17 22:47:44 llama. I have AMD processor, so these instructions are AMD-only. 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。 C:\\Users\\(ユーザ名)\\AppData\\Local\\Programs\\Ollama インストール後立ち上げたWindows PowerShell May 3, 2024 · You signed in with another tab or window. I'm using NixOS, not that it should matter. log Apr 20, 2024 · @igorschlum thank you very much for the swift response. You signed in with another tab or window. When I try running this last step, though (after shutting down the container): docker run -d --gpus=all -v ollama:/root/. As a sanity check, make sure you've installed nvidia-container-toolkit and are passing in --gpus otherwise the container will not have access to the GPU. Build by One-click. Make sure PATH is set to C:\msys64\ucrt64\bin in the environment, also should Mar 14, 2024 · To get started with Ollama with support for AMD graphics cards, download Ollama for Linux or Windows. It detects my nvidia graphics card but doesnt seem to be using it. 23 from Arch Linux r First of all, thanks for bringing us this awesome project! I have a pretty old GPU, Nvidia GTX 970, but it used to work fine with Ollama 0. My CPU usage 100% on all 32 cores. I have constructed a Linux (Rocky 8) system on the VMware workstation which is running on my Windows 11 system. I would like to ask if it can support GPU. Copy. Meta Llama 3, a family of models developed by Meta Inc. Here’s how to get started: Starting with CPU-Only 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. Apr 24, 2024 · 2. Feb 19, 2024 · Hello, Both the commands are working. It's more user-friendly. Then, you need to run the Ollama server in the backend: ollama serve&. answered Jan 12, 2017 at 22:45. May 15, 2024 · This typically involves installing the appropriate drivers and configuring the GPU devices in the Ollama configuration file. 1. Since this system is shared across multiple users, this also causes problems when someone is already using the selected GPU Ollama was originally developed with the idea of enabling people to run LLMs locally on their own computers, but that doesn’t mean you can’t use it on an H100 PCIe GPU Instance; in fact, its vast amount of resources will supercharge your experience. Ollama is a robust framework designed for local execution of large language models. bin" --threads 12 --stream. Learn how to use ollama/ollama with the documentation and examples on the Docker Hub page. It's possible the combination of the two prevents ollama from using the GPU. However, we noticed that once we restarted the ollama. 5. After above steps, you should have created a conda environment Koboldcpp is a standalone exe of llamacpp and extremely easy to deploy. While you seem to already have this in place, I'll include it for other readers. Steps to Reproduce: Just run ollama in background, start ollama-webui locally without docker. In summary, this project demonstrates the effectiveness of using GPU acceleration to improve the speed of token generation in NLP Dec 10, 2023 · When I updated to 12. Ollama automatically splits the work load. Turn on GPU access with Docker Compose. The only software using the GPU is Ollama. Visit the Google Cloud Platform console and Added new OLLAMA_NOHISTORY=1 environment variable that can be set to disable history when using ollama run New experimental OLLAMA_FLASH_ATTENTION=1 flag for ollama serve that improves token generation speed on Apple Silicon Macs and NVIDIA graphics cards Apr 18, 2024 · You signed in with another tab or window. 32, and noticed there is a new process named ollama_llama_server created to run the model. . In CPU “does not have AVX or AVX2” time=2024-02-29T11:21:58. As a result, my GPU usage now is between 40% - 100% and CPU around 60% while the model is working. Feb 26, 2024 · Operating System: Windows GPU: NVIDIA with 6GB memory Description: While switching between Mistral 7B and Codellama 7B, I noticed a decrease in GPU available memory for layers offloaded to the GPU. Feb 21, 2024 · Latest (0. All CPU cores are going full, but memory is reserved on the GPU with 0% GPU usage. Occurs both on v0. Unfortunately, the problem still persi Feb 8, 2024 · My system has both an integrated and a dedicated GPU (an AMD Radeon 7900XTX). 3, my GPU stopped working with Ollama, so be mindful of that. To get started using the Docker image, please use the commands below. 使用 Ollama 下载模型. 2-q8_0. 722+08:00 level=INFO source=images. So what we did was we stop the process, and then disable it every time. Hope this helps anyone that comes across this thread. wizardlm-uncensored:13b-llama2-fp16 In my tests, this scheme allows Llama2 70B to run on a single 24 GB GPU with a 2048-token context, producing coherent and mostly stable output with 2. May 7, 2024 · Optional Step 4: Use AI in ChatGPT like browser interface with Open WebUI. q4_K_S. 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. All the features of Ollama can now be accelerated by AMD graphics cards on Ollama for Linux and Windows. model used : mistral:7b-instruct-v0. Other stuff I added for future experiments. For this, make sure you install the prerequisites if you haven't already done so. go:203: Searching for GPU management library libnvidia-ml. It may be worth noting that the GPU that Ollama detects is always GPU 1 (as listed in nvidia-smi). I have asked a question, and it replies to me quickly, I see the GPU usage increase around 25%, ok that's seems good. I'm running ollama 0. Now, you are ready to run the models: ollama run llama3. However, the CUDA Compute Capability of my GT710 seems to be 2. 🚀 基于 LLM 大语言模型的知识库问答系统。开箱即用，支持快速嵌入到第三方业务系统，1Panel 官方出品。 - 如何让Ollama使用GPU运行LLM模型 · 1Panel-dev/MaxKB Wiki Feb 24, 2024 · Here are some specs: CPU: Intel i5-7200U CPU @ 2. gpu: 2070 super 8gb. Ollama uses basic libraries to do the math directly. Author. I reran this command as I adjusted my num_thread value ollama create NOGPU-wizardlm-uncensored:13b-llama2-fp16 -f . Attached are the logs from Windows, and Linux. The solution works at least for windows non-gui ollama. When I run standard Ollama, it uses my GPU just fine. Ollama now supports AMD graphics cards in preview on Windows and Linux. log ollama-log-linux. Feb 18, 2024 · Ollama comes with the ollama command line tool. 7K subscribers in the ollama community. Here are the results of a small experiment: Model: solar:q4_0. There is also a proposal to add support for 3. Prompt processing is 2x faster than with CPU. Create a Modelfile Nov 3, 2023 · Here's a general guideline on how to uninstall it: Delete the Ollama binary: Use the rm command to remove the Ollama binary. Feb 28, 2024 · Make sure you are using the latest image of ollama. 2024/01/14 19:50:06 gpu. The minimum compute capability supported by Ollama seems to be 5. 04/WS 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. Before it was at 0% with my CPU being at around 70%. 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. 0. Total I have 48GB VRAM and 64GB System RAM. RTX 3090 alone: 2. Red text is the lowest, whereas, Green is for the highest recorded score across all runs. 2022. When running llama3:70b `nvidia-smi` shows 20GB of vram being used by `ollama_llama_server`, but 0% GPU is being used. e. are new state-of-the-art , available in both 8B and 70B parameter sizes (pre-trained or instruction-tuned). Is there some way to disable GPU so ollama only runs on a single Tesla GPU? You might be able to get the GPU's ID from nvidia-smi, and then just use that ID to isolate the GPU for ollama, e. Jan 12, 2024 · Nome do host: GE76RAIDER Nome do sistema operacional: Microsoft Windows 11 Pro Versão do sistema operacional: 10. The GPU will not process any instructions while the CPU is finishing and that brings down the GPU utilization. Could I run Llama 2? ollama/ollama is a Docker image that provides a simple and secure way to run OLLA, a tool for automated malware analysis. Ollama will run in CPU-only mode. 2. 5-q5_K_S (22gb) That should hit right near the max for your 24Gb VRAM and you'll see full speed eval rate: tokens per second. Now I upgraded to 0. If you enter the container and type ollama --version you should see the version you are on; compare it with the latest release (currently 0. I see ollama ignores the integrated card, detects the 7900XTX but then it goes ahead and uses the CPU (Ryzen 7900). Generation runs at max speed even if CPU is busy running other processes. 1 version of the toolkit, which I believe is the one that works (at least for me). I recently upgraded my PC with an additional 32 gigabytes of system RAM, bringing the total to 48 gigabytes. Maybe vram is not enough to load model, run OLLAMA_DEBUG=1 ollama serve, than run your model, see if there have not enough vram available, falling back to CPU only log. 55 bits per weight. Do us a favor and ollama run --verbose qwen:32b-chat-v1. If possible, you can try upgrading your drivers. 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. We aggressively lower the precision of the model where it has less impact. As far as I know, you can't set the number of layers via command line arguments now, and the same goes for other parameters. Owners of NVIDIA and AMD graphics cards need to pass the -ngl 999 flag to enable maximum offloading. Improve this answer. Edit or create a new variable for your user account for Aug 4, 2023 · I've tried with both ollama run codellama and ollama run llama2-uncensored. May 14, 2024 · You signed in with another tab or window. The framework is likely to become faster and easier to use. There is a pronounced stark performance difference from traditional CPUs (Intel or AMD) simply because we Subreddit to discuss about Llama, the large language model created by Meta AI. This can be disabled by passing -ngl 0 or --gpu disable to force llamafile to perform CPU inference. Start another console and write "ollama run *YOUR MODEL NAME*". I have no gpus or an integrated graphics card, but a 12th Gen Intel (R) Core (TM) i7-1255U 1. 29), if you're not on the latest one, you can update your image with docker-compose pull and docker-compose up -d --force-recreate. bmizerany added the gpu label on Mar 11. Visit Run Ollama with IPEX-LLM on Intel GPU, and follow the instructions in section Install IPEX-LLM for llama. Thanks! Running on Ubuntu 22. ollama create <my model>. Usually you could set `HIP_VISIBLE_DEVICES=0` (or 1, depends on the order the devices are numbered) to force the use of a particular GPU. In the above results, the last two- (2) rows are from my casual gaming rig and the aforementioned work laptop. Compose services can define GPU device reservations if the Docker host contains such devices and the Docker Daemon is set accordingly. In the command prompt type nvidia-smi if it doesn't show you don't have Nvidia drivers installed. Mar 21, 2024 · Please confirm that at least one GPU is present, like [ext_oneapi_level_zero:gpu:0]. To make Ollama use iGPU on AMD processors, you will need docker image variant than bundles ROCm, AMD's GPU compute stack. When I install Ollama Web UI, I get errors (from a full clean Ubuntu install, with all NVIDIA drivers and container toolkit installed). Click on Edit environment variables for your account. Ollama can run with GPU acceleration inside Docker containers for Nvidia GPUs. Then ollama run llama2:7b. 13B models run at 2. - ollama/docs/docker. Dec 28, 2023 · But if I ask the same question in console, I get answers super fast as it uses GPU. In Linux: How to locally deploy ollama and Open-WebUI with Docker Compose. For example, to run Ollama with 4 GPUs, the user would use the following command: May 19, 2011 · The bios probably has an option to select the default video device, just check to see that is isn't PCI-E, you can also plug the monitor into the onboard graphics and completely remove the GPU. ggmlv3. go:427: waiting for llama runner to start responding {"timestamp":1708238864,"level":"WARNING Jan 17, 2024 · num_gpu: The number of layers to send to the GPU(s). Jan 9, 2024 · Feature request description I'm trying to access my GPU using podman play kube with a yaml file, the specific application is ollama 😁 When I use the podman run syntax suggested by the podman Container Device Interface docs this works: po i've got the rocm stuff working, tested with just ollama:rocm and passing --device /dev/dri/renderD129 (my 7900xtx) i've got the cuda stuff working, tested with just ollama:rocm and passing --device /dev/dri/renderD129 (my 7900xtx) --gpus all. Here. Issue: Recently I switch from lm studio to ollama and noticed that my gpu never get above 50% usage while my cpu is always over 50%. I've used the same model in lm studio w. Hello, I have two Intel Xeon E5-2697 v2 processors and an Nvidia RTX 4060 Ti. You need to disable ollama server first. bmizerany assigned dhiltgen on Mar 11. Choose the appropriate command based on your hardware setup: With GPU Support: Utilize GPU resources by running the following command: Nov 21, 2023 · Annex: Nvidia container toolkit. Mar 1, 2024 · I've just installed Ollama in my system and chatted with it a little. I will first show how to use Ollama to call the Phi-3-mini quantization model . x. Llama 3 instruction-tuned models are fine-tuned and optimized for dialogue/chat use cases and outperform many of the available Dec 21, 2023 · Hi folks, It appears that Ollama is using CUDA properly but in my resource monitor I'm getting near 0% GPU usage when running a prompt and the response is extremely slow (15 mins for one line response). Ollama Web UI commands Jul 25, 2023 · Demongle commented on Jul 25, 2023. 20 and I get the following error: 2024/01/14 19:50:06 gpu. When I use Ollama, my RTX is not fully utilized, or For those that may want to compile Ollama on Windows to force GPU compilation with no AVX, here is a how-to guide. go:710 msg="total blo The GPU usage for Ollama remained at 0%, and the wired memory usage shown in the Activity Monitor was significantly less than the model size. Expected Behavior: Reuse existing ollama session and use GPU. server. RAM: 4GB. Using ollama, the model seem to load Apr 11, 2024 · Ollama works by having its binary do two things: It runs in the background to manage requests and start servers. Sep 27, 2023 · Quantization to mixed-precision is intuitive. md)" Ollama is a lightweight, extensible framework for building and running language models on the local machine. I tried the Minicpm-llama3-V-2. Last Nvidia Drivers let you use the shared memory of your GPU with EXLlama. Use wsl --update on the command line. The examples in the following sections focus specifically on providing service containers If not check if the manufacturer put the extra power cable in The GPU will work but slower like almost not. You switched accounts on another tab or window. I don't think ollama is using my 4090 GPU during inference. Because we are running the model ourselves, it requires us to deploy a machine with a GPU attached. My graphics card is an Nvidia RTX 4070 with 12 gigabytes of video memory. Feb 29, 2024 · tylinux commented on Feb 28. Feb 29, 2024 · I can enable GPU using pytorch. x or 3. Apr 20, 2024 · You can change /usr/bin/ollama to other places, as long as they are in your path. CPU only docker run -d -v ollama:/root/. Key components are num_gpu 0 to disable GPU, num_thread 3 to use only 3 CPU cores. To validate that everything works as expected, execute a docker run command with the --gpus=all flag. systemctl daemon, or Windows/MacOS daemon) It’s run on the command line to execute tasks: ollama run mistral. Once you save your new Modelfile under a unique name run the create. time ollama create half-everythinglm -f ~/ollama/Modeleverythinglm. 32 and v0. 在 MaxKB 的模型设置中添加模型进行对接. The most capable openly available LLM to date. Environment May 3, 2024 · In logs Ollama says it only detects the one GPU. For example: koboldcpp. I use nvtop to monitor my nvidia rtx gpu. Jan 29, 2024 · I have an iGPU and didn't have to disable it for ollama to work. The Nvidia Container Toolkit is a package to enables users building and running GPU-accelerated containers. Ollama only compiles GPU libraries for AVX. . Feb 16, 2024 · CPU: AMD 5500U with Radion internal GPU. go:88: Detecting GPU type. 9 or later; Windows/WSL prerequisite. Ollama is a framework that makes it easy to run open-source large language models such as Mistral, Llama2, CodeLlama, and Gemma. I have to use this for models that don't fit into my GTX 970 4gb Vram. cpp to install the IPEX-LLM with Ollama binary, then follow the instructions in section Initialize Ollama to initialize. On macOS it defaults to 1 to enable metal support, 0 to disable. Reload to refresh your session. + Run a model. According to modelfile, "num_gpu is the number of layers to send to the GPU(s). Offloading to GPU is enabled by default when a Metal GPU is present. Also, it installs the 12. I swap the model by using ollama run and provide a different model to load. Upon investigation, I captured the foll Apr 5, 2024 · Ollama Mistral Evaluation Rate Results. go:369: starting llama runner 2024/02/17 22:47:44 llama. It loaded into the GPU. By default, Ollama will detect this for optimal performance. 👍 1. You can directly run ollama run phi3 or configure it offline using the following. create Create a model from a Modelfile. Running huge models such as Llama 2 70B is possible on a single consumer GPU. Apr 18, 2024 · Llama 3. Note also that ExLlamaV2 is only two weeks old. exe --model "llama-2-13b. Open WebUI is an open source project that lets you use and interact with local AI in a web browser. The tokens are produced at roughly the same rate as before. com Organização registrada Mar 18, 2024 · I have restart my PC and I have launched Ollama in the terminal using mistral:7b and a viewer of GPU usage (task manager). When I updated to 12. By default, GCP projects have quotas on resources that disable GPU usage. 1 Install IPEX-LLM for Ollama and Initialize #. Jan 2, 2024 · I am having similiar issues trying to run Ollama Web UI with my RTX A4000 16GB GPU. ollama serve, the ollama container, or through a service (i. Oct 15, 2023 · Next, I create my preset: ollama create 13b-GPU-18-CPU-6 -f /storage/ollama-data/Modelfile and ollama run 13b-GPU-18-CPU-6:latest. I then exit and run ollama run with the deep-seeker again and Ollama will load it into the GPU. service. I decided to run mistrel and sent the model a prompt 1. Pull requests have already been suggested as far as I know. The GPU processes faster than the CPU and Ollama can't send the next command until the CPU has completed its task. Enter ollama in a PowerShell terminal (or DOS terminal), to see what you can do with it: ollama. How you run Ollama with GPU support depends on GPU vendor. I am running two Tesla P40s. Actual Behavior: Ignore GPU all together and fallback to CPU and take forever to answer. aw ks kh jc ji sh ow bf ft xq