Ollama for macbook pro. Inside the MacBook, there is a highly capable GPU, and its architecture is especially suited for running AI models. ollama pull phi3:3. While Ollama downloads, sign up to get notified of new updates. Since we will be using Ollamap, this setup can also be used on other operating systems that are supported such as Linux or Windows using similar steps as the ones shown here. However, now that the model is being run on the CPU, the speed has significantly decreased, with performance dropping from 3-6 words/s to just ~0. Hi @easp, I'm using ollama to run models on my old MacBook Pro with an Intel (i9 with 32GB RAM) and an AMD Radeon GPU (4GB). 5-mixtral-8x7b. Now I am ready to pass each recipe to the nomic-embed-text v1. 1, Phi 3, Mistral, Gemma 2, and other models. 1. This model specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics. from the documentation it didn't seem like ollama serve was a necessary step for mac. 8b ollama pull qwen2:7b ollama pull gemma2:9b ollama pull mistral:7b ollama pull llama3. Here are the steps if you want to run llama3 locally on your Mac. 0. As you may know from reading other my blog posts, I am a MacOS user, so the commands in this post will cover only MacOS. But that seems to have finally dried up a couple of weeks ago. 73s without the settings, and reduced to 0. May 15, 2024 · 通过选择适合设备内存的模型，如 7B 或 14B 参数量的模型，并使用 llama. 通过 Ollama 在个人电脑上快速安装运行 shenzhi-wang 的 Llama3. About. Mar 13, 2023 · 编辑：好困 【新智元导读】现在，Meta最新的大语言模型LLaMA，可以在搭载苹果芯片的Mac上跑了！ 前不久，Meta前脚发布完开源大语言模型LLaMA，后脚就被网友放出了无门槛下载链接，「惨遭」开放。 消息一出，圈内瞬… Dec 28, 2023 · Actually, the MacBook is not just about looks; its AI capability is also quite remarkable. We will be leveraging the default models pulled from Ollama and not be going into the specific custom trained models or pulling anything custom from PyTorch that are supported by Ollama as well. 1:11434 . Note: Navigating through online code samples We would like to show you a description here but the site won’t allow us. Despite setting the environment variable OLLAMA_NUM_GPU to 999, the inference process is primarily using 60% of the CPU and not the GPU. - Application can't be opened. Aug 15, 2024 · Running a Macbook Pro M2 with 32GB and wish to ask about entities in news article. Despite this, using CPU-only assistance, we successfully Apr 22, 2024 · I spent the weekend playing around with llama3 locally on my Macbook Pro M3. Running a Model : Once Ollama is installed, open your Mac’s Terminal app and type the command ollama run llama2:chat to Jun 27, 2024 · Model: MacBook Pro 14-inch, Nov 2023; Chip: Apple M3; Memory: 24 GB; OS: macOS 14. I am able to run dolphin-2. Mar 29, 2024 · 5分もかからず Llama2 を使える Ollama を Macbook で試す 環境は MacBook Pro 16-inch, 2021 (Apple M1 Max, Memory 64 GB, macOS Sonoma 14. Towards Data Science. 726 Ollama[57354:11721047] WARNING: Secure coding is not enabled for restorable state! Apple M2 Pro LLaMa-Pro is a version of the original LLaMa model enhanced by the addition of transformer blocks by Tencent Applied Research Center (ARC). Mac app for Ollama. From the following page: I am using the following lines in this gist script: Apr 21, 2024 · Then clicking on “models” on the left side of the modal, then pasting in a name of a model from the Ollama registry. OLLAMA: How to Run Local Language Models Like a Pro; How to Use Oobabooga's Text Generation Web UI: A Comprehensive Guide; Best Open-Source LLMs for Text Summarization & Chatbot Use; OpenLLM: Unlock the Power of Large Language Models; Phi-3: Microsoft's Compact and Powerful Language Model; Phind-70B: The Coding Powerhouse Outperforming GPT-4 Turbo Nov 17, 2023 · Ollama (Lllama2 とかをローカルで動かすすごいやつ) をすごく簡単に使えたのでメモ。 使い方は github の README を見た。 jmorganca/ollama: Get up and running with Llama 2 and other large language models locally. Run Llama 3. docker exec -it ollama ollama run llama2 More models can be found on the Ollama library. ollama -p 11434:11434 --name ollama ollama/ollama Run a model. Apr 19, 2024 · Run Llama3 on your M1 Pro Macbook. Jan 19, 2024 · Based on this thread, I looked at the Ollama. Footer Feb 2, 2024 · This results in improved speed of output. Jul 7, 2024 · $ ollama 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 ps List running models cp Copy a model rm Remove a model help Help about any command Dec 15, 2023 · This all means, that there is a “niche” with model-inference (mainly token-generation) for Apple Silicon machines. - ollama/ollama Hello r/LocalLLaMA. Jan 17, 2024 · I installed Ollama on an M2 Macbook. Our experiment with OpenAI’s Whisper and Meta’s Llama2 7b on a MacBook Pro M1 has successfully demonstrated Jan 18, 2024 · Hi @yourfavoritedev I have a Macbook Pro 2011 M1pro with 32GB and it works. 1:8b ollama pull llava:7b When memory RAM siz is greater than 15GB, it will check if these models exist. Q4_K_M in LM Studio with the model loaded into memory if I increase the wired memory limit on my Macbook to 30GB. I also have an M3 MacBook Pro with 36GB of RAM, so your mileage may vary depending on your machine’s specifications. Get up and running with Llama 3. cpp] 最新build（6月5日）已支持Apple Silicon GPU！ 建议苹果用户更新 llama. cpp inference. Specifically, I'm interested in harnessing the power of the 32-core GPU and the 16-core Neural Engine in my setup. Aug 6, 2024 · I tested Ollama using M1 Pro and M1 Ultra Macs with 32GB and 64GB of RAM, which are a few generations behind current MacBook Pro models. It will work perfectly for both 7B and 13B models. Zoumana Keita. Ollama Getting Started (Llama 3, Mac, Apple Silicon) In this article, I will show you how to get started with Ollama on a Mac. However, I remembered that when the Macbook M1 first came out, there was some issues with homebrew and/or libraries using the Apple Silicon, and I remember reading about using Rosetta Stone with Homebrew. On a MacOS workstation, the simplest way to install ollama is to use homebrew: Jan 6, 2024 · That's why specific models are available in different versions under Tags on the Ollama site. 11 didn't work because there was no torch wheel for it yet, but there's a workaround for 3. You also need Python 3 - I used Python 3. Help. 4. I'm wondering if there's an option to configure it to leverage our GPU. llama3; mistral; llama2; Ollama API If you want to integrate Ollama into your own projects, Ollama offers both its own API as well as an OpenAI Aug 17, 2023 · It appears that Ollama currently utilizes only the CPU for processing. Jul 9, 2024 · 总结. Jul 3, 2024 · (venv) admin@admins-MacBook-Pro selvapal % ollama run llama3 >>> list the climate chnage reasons Here are some of the main reasons contributing to climate change: 1. Setting it up is easy to do and runs great. It's essentially ChatGPT app UI that connects to your private models. ollama -p 11434:11434 --name ollama ollama/ollama && docker exec -it ollama ollama run llama2' Sep 8, 2023 · Run Llama3 on your M1 Pro Macbook. 1 Locally with Ollama and Open I tried (an partially succeeded) to overclock Corsair Vengeance XMP 2. Since you've verified it works via curl on localhost, this seems correct. According to the system monitor ollama is not using the GPU. Press. Model I'm trying to run : starcoder2:3b (1. Did i missed something in config ? Apr 28, 2024 · Wanting to test how fast the new MacBook Pros with the fancy M3 Pro chip can handle on device Language Models, I decided to download the model and make a Mac App to chat with the model from my Jan 4, 2024 · Deploy the new Meta Llama 3 8b parameters model on a M1 Pro Macbook using Ollama. Feb 21, 2024 · OLLAMA_HOST=127. Llama2是Meta AI开发的Llama大语言模型的迭代版本，提供了7B，13B，70B参数的 Dec 9, 2023 · WITH “Apple Metal GPU” and “Default LM Studio macOs” enabled. Requires macOS 11 Big Sur or later. Deploy the new Meta Llama 3 8b parameters model on a M1 Pro Macbook using Ollama. Generative AI Recommended Reading. 1) We would like to show you a description here but the site won’t allow us. I am looking for some guidance on how to best configure ollama to run Mixtral 8X7B on my Macbook Pro M1 Pro 32GB. 0 PRO SL Black Heat spreader 128GB (4x32GB), DDR4, 3200MHz, CL 16, RGB , SN: CMH128GX4M4E3200C16 upvotes · comments I found out why. 通过 Ollama 在 Mac M1 的机器上快速安装运行 shenzhi-wang 的 Llama3-8B-Chinese-Chat-GGUF-8bit 模型，不仅简化了安装过程，还能快速体验到这一强大的开源中文大语言模型的卓越性能。 Jan 22, 2024 · Running codellama:7b-instruct model, with continue. macOS Linux Windows. ちなみに、Ollama は LangChain にも組み込まれててローカルで動くしいい感じ。 Ollama running on CLI (command line interface) Koboldcpp because once loaded has its own robust proven built in client/front end Ollama running with a chatbot-Ollama front end (see Ollama. Enchanted is open source, Ollama compatible, elegant macOS/iOS/visionOS app for working with privately hosted models such as Llama 2, Mistral, Vicuna, Starling and more. 2 TFLOPS for the 4090), the TG F16 scales with memory-bandwidth (1008 GB/s for 4090). Our developer hardware varied between Macbook Pros (M1 chip, our developer machines) and one Windows machine with a "Superbad" GPU running WSL2 and Docker on WSL. Available for macOS, Linux, and Windows (preview) Explore models →. LLaMA 3 8b, running on M1 MacBook pro with 16gb ram Reply reply ollama made installation trivial which was nice So far 8B seems worth tinkering with Feb 5, 2024 · MacBook Pro M1, 16 GB of RAM Benchmark 7B: Starling-LM, llama2 et mistral On macOS, Ollama is capable of processing up to 13 tokens per second with a 7B model that has been quantized to 4 bits. Download ↓. It might take a while to execute. I see ollama ignores the integrated card, detects the 7900XTX but then it goes ahead and uses the CPU (Ryzen 7900). 在我尝试了从Mixtral-8x7b到Yi-34B-ChatAI模型之后，深刻感受到了AI技术的强大与多样性。 我建议Mac用户试试Ollama平台，不仅可以本地运行多种模型，还能根据需要对模型进行个性化微调，以适应特定任务。 Feb 2, 2024 · Hello, I tried to install ollama on my macbook today and give it a try but the model is taking 10+ min just to answer to an Hello. cpp can run 7B model with 65 t/s, 13B model with 30 t/s, and 65B model with 5 t/s. If anything, the "problem" with Apple Silicon hardware is that it runs too cool even at full load. This increased complexity translates to enhanced performance across a wide range of NLP tasks, including code generation, creative writing, and even multimodal applications. Careers. ollama run llama3. Time to first token was 3. I'm running ollama on a macbook pro with M1 chip. 69s with these settings: 81. Dec 30, 2023 · For smaller 7 billion parameter models, I was able to get good performance on a Mac Mini and MacBook Air with M2 chip and 16GB of unified memory. M1 Processor; 16GB RAM Jun 2, 2024 · For this post, I will be using my MacBook Pro M1 (2020) with 16GB of RAM. 3GB. There is this issue that says, that it could be a new problem on the 0. AI Agents — From Concepts to Practical Implementation in Python. We would like to show you a description here but the site won’t allow us. Now, when I try to run it, I get an error: MacBook-Pro-2:~ griscom$ ollama run llama2:13b pulling manifest pulling f791427 May 8, 2024 · ollama run new-model. During testing, this machine provided the best performance when running local models. Dec 14, 2023 · Describe the bug I am trying to run the 70B Llama model thru Ollama on my M3 Pro macbook with 36 gb of RAM. May 28, 2024 · Ollamaには、ざっくり説明すると以下のような特徴があり、シンプルにローカル環境でLLMを実行、管理できます。 Modelfile を使用して、モデルの設定やパラメータを簡単にカスタマイズ出来る Note: For Apple Silicon, check the recommendedMaxWorkingSetSize in the result to see how much memory can be allocated on the GPU and maintain its performance. Lenovo M700 tiny. On the other hand, the Llama 3 70B model is a true behemoth, boasting an astounding 70 billion parameters. Oct 5, 2023 · seems like you have to quit the Mac app then run ollama serve with OLLAMA_MODELS set in the terminal which is like the linux setup not a mac "app" setup. Macs have unified memory, so as @UncannyRobotPodcast said, 32gb of RAM will expand the model size you can run, and thereby the context window size. This is a much smaller model at 2. I suspect there's in theory some room for "overclocking" it if Apple wanted to push its performance limits. May 3, 2024 · This tutorial showcased the capabilities of the Meta-Llama-3 model using Apple’s silicon chips and the MLX framework, demonstrating how to handle tasks from basic interactions to complex Nov 22, 2023 · Thanks a lot. cpp. what version of MacOS have you? Try to restart and launch Ollama again to see if you have still the same issue. MacBook Pro 2023; Apple M2 Pro Apr 29, 2024 · Both Macs with the M1 processors run great, though the 8GB RAM on the Air means that your MacBook may stutter and/or stick, in hindsight if I’d done more research I would’ve gone for the 16GB RAM version. 0 (Sonoma). Dec 3, 2023 · Setup ollama. Here are some models that I’ve used that I recommend for general purposes. Considering the specifications of the Apple M1 Max chip: Feb 26, 2024 · As part of our research on LLMs, we started working on a chatbot project using RAG, Ollama and Mistral. Apr 28, 2024 · For this experiment, I used a MacBook Air 15" with an M2 chip and 16GB of memory. See more recommendations. app settings and "Open using Rosetta" was unchecked. I'm using Ollama on my MacBook Pro, and this is how it looks in the terminal: Jan 5, 2024 · Photo by Karim MANJRA on Unsplash. In conclusion, finetuning and inferring with Macbook is not as difficult as it might seem. ai. Platforms Supported: MacOS, Ubuntu, Windows (preview) Ollama is one of the easiest ways for you to run Llama 3 locally. macOS 14+. 04 LTS. These instructions were written for and tested on a Mac (M1, 8GB). The M1/M2 Pro supports up to 200 GB/s unified memory bandwidth, while the M1/M2 Max supports up to 400 GB/s and M1/M2/M3 Ultra 800 GB/s. . This is what I did: find / -name "*ollama*" 2>/dev/null - this command will look for Ollama in your system. com Apr 29, 2024 · For Phi-3, replace that last command with ollama run phi3. Set up the Whisper and Llama2 7b models on a MacBook Pro M1. Feb 29, 2024 · Pixel 9 Pro XL vs iPhone 15 Pro Max: Ultimate Camera Showdown 6 Awesome macOS Sequoia Features You Need to Know About Even More Apple Watch Ultra 3 Secrets & Specs Revealed Apr 21, 2024 · The strongest open source LLM model Llama3 has been released, some followers have asked if AirLLM can support running Llama3 70B locally with 4GB of VRAM. User-Friendly Interface : Navigate easily through a straightforward design. cpp在MacBook Pro本地部署运行量化版本的Llama2模型推理，并基于LangChain在本地构建一个简单的文档Q&A应用。本文实验环境为Apple M1 Max芯片 + 64GB内存。 Llama2和llama. Apr 28, 2024 · 概要. Ollama is a deployment platform to easily deploy Open source Large Language Models (LLM) locally on your Mac, Windows or Linux machine. For this demo, we are using a Macbook Pro running Sonoma 14. 11 listed below. Apr 5, 2024 · Well, its time for another laptop refresh and I'm coming from a MacBook Pro (16-inch, 2019) kitted with 64GB DDR4 RAM running at 2666MHz for onboard memory, as well as, an AMD Radeon Pro 5500M with 4GB of GDDR6 memory that auto switches with an Intel UHD Graphics 630. You find detailed instructions for all operating systems on their GitHub page. **Greenhouse gases**: The burning of fossil fuels such as coal, oil, and gas releases carbon dioxide (CO2), methane (CH4), and other greenhouse gases into the atmosphere, trapping Oct 5, 2023 · docker run -d --gpus=all -v ollama:/root/. There were several files to remove, at least in my case. Intel(R) Core(TM) i7-6700; 32GB RAM; 500GB NVME Drive; Ubuntu Bonle 24. Towards AI. The answer is YES. 7 GB). We pass each recipe to the LLM one by one, combining the Title, Ingredients and Instructions of each recipe into a single string. 1 with 64GB memory. You will have much better success on a Mac that uses Apple Silicon (M1, etc. Dec 27, 2023 · I recently installed Mistral 7B using Ollama on my MacBook Pro M1 16GB and was amazed at how well it worked. However my suggestion is you get a Macbook Pro with M1 Pro chip and 16 GB for RAM. M3 Max LLM Testing Hardware. Now you can run a model like Llama 2 inside the container. Ollama. Unfortunately, I was unable to run the model on my 8GB Mac mini. 6 GHz 6-Core Intel Core i7; Windows desktop (Ryzen 5 1600, RTX 1080Ti) I installed the models using ollama, and used a simple prompt for comparing them: “What’s the best way for me to learn about LLMs?” Comparison I was downloading llama2:13b, and for some reason the download went wrong. To run llama. ai/ On the M1 Macbook Pro it seems to peg the GPU at 100% (when run in a loop at 13 tokens/s) with minimal CPU usage. Status. AMD Radeon PRO: W7900 W7800 W7700 W7600 W7500 W6900X W6800X Duo W6800X W6800 V620: Ollama supports GPU acceleration on Apple devices via the Metal API. For example MacBook Pro M2 Max using Llama. You also need the LLaMA models. I'm informed that this is likely too little RAM for this model, however I am able to run the 4Q version just fine - although extr Universal Model Compatibility: Use Ollamac with any model from the Ollama library. This will download the Llama 3 8B instruct model. 20 #1938 try to download the 0. Simply download the application here, and run one the following command in your CLI. Reply reply 本文将介绍如何使用llama. Customize and create your own. For a very unscientific benchmark on my Intel Macbook Pro, I asked the same question, “What’s the best way for me to learn about LLMs?” to both LLMs. Previously I already had tested Mistral’s cloud API, which worked very well too, but… Macbook Pro M1, 16GB memory Inten Extreme NUC 12, Intel I7 127000, 32GB 3200mhz memory, 1TB Samsung Evo 980 nvme SSD, no GPU Same model, same version, same query string. Macbook Pro - CPU - M1Pro · Issue #2786 · ollama/ollama Nov 14, 2023 · 2014年のMacbook Proから2023年秋発売のMacbook Proに乗り換えました。せっかくなので，こちらでもLLMsをローカルで動かしたいと思います。 どうやって走らせるか以下の記事を参考にしました。 5 easy ways to run an LLM locally Deploying a large language model on your own system can be su www. Nov 7, 2023 · iPhone and iPad: Apple A13 Bionic or later Mac: Apple silicon (M1 or later), AMD Radeon Pro Vega series, AMD Radeon Pro 5000/6000 series, Intel Iris Plus Graphics series, Intel UHD Graphics 630. Generating embeddings. During the holidays, MacBook Pro M1 Maxes with 64GB of RAM were $2200-$2400. Do Not Use LLM or Generative AI For These Use Cases. cpp已添加基于Metal的inference，推荐Apple Silicon（M系列芯片）用户更新，目前该改动已经合并至main branch。. Ollama is also compatible with Windows, Linux, and Docker. Download for macOS. If you are on Linux and are having this issue when installing bare metal (using the command on the website) and you use systemd (systemctl), ollama will install itself as a systemd service. First run with llama2. The only Ollama app you will ever need on Mac. User Registrations: Subsequent sign-ups start with Pending status, requiring Administrator approval for access. 19 version to see is the issue was already there. Chat Archive : Automatically save your interactions for future reference. Lists. Get up and running with large language models. For further Aug 5, 2024 · My workstation is a MacBook Pro with an Apple M3 Max and 64GB of shared memory, which means I have roughly 45GB of usable VRAM to run models with! Users with less powerful hardware can still use ollama with smaller models or models with higher levels of quantization. 1-8B-Chinese-Chat 模型，不仅简化了安装过程，还能快速体验到这一强大的开源中文大语言模型的卓越性能。 Nov 15, 2023 · Download Ollama: Head to the Ollama download page and download the app. 5% faster Time to completion Admin Creation: The first account created on Open WebUI gains Administrator privileges, controlling user management and system settings. Feb 28, 2024 · Get up and running with Llama 3. Dec 20, 2023 · Now that Ollama is up and running, execute the following command to run a model: docker exec -it ollama ollama run llama2 You can even use this single-liner command: $ alias ollama='docker run -d -v ollama:/root/. in. Ollamaを用いて、ローカルのMacでLLMを動かす環境を作る; Open WebUIを用いての実行も行う; 環境. Blog. Despite being listed as supporting Metal 3, I can confirm that Ollama does not currently use the Radeon RX 6900 in my Mac Pro system. All you need to know are some good tools, such as Ollama and MLX. dev plugin. If you add a GPU FP32 TFLOPS column (pure GPUs is not comparable cross architecture), the PP F16 scales with TFLOPS (FP16 with FP32 accumulate = 165. For this test, we are using the 14″ M3 MacBook Pro with the upgraded M3 Max chip and maximum RAM. The M2 Pro has double the memory bandwidth of an M2, a M1/2/3 Max doubles Nov 2, 2023 · Download and launch Ollama: https://ollama. Apr 19, 2024 · To resolve the connection issue between Dify and OLLAMA on your MacBook Pro, follow these targeted steps: Confirm OLLAMA's Accessibility: Ensure OLLAMA is accessible at its configured address. cpp you need an Apple Silicon MacBook M1/M2 with xcode installed. 5 model via Ollama’s embed endpoint, which returns a numerical vector for our query. I have an M2 MBP with 16gb RAM, and run 7b models fine, and some 13b models, though slower. Only 70% of unified memory can be allocated to the GPU on 32GB M1 Max right now, and we expect around 78% of usable memory for the GPU on larger memory. So I ran the following in my terminal: Feb 8, 2024 · My system has both an integrated and a dedicated GPU (an AMD Radeon 7900XTX). ). Feb 6, 2024 · Even though it took some time to load and macOS had to swap out nearly everything else in memory, it ran smoothly and quickly. The native Mac app for Ollama. infoworld. /Ollama serve 2024-02-21 16:30:07. Running Meta Llama on Mac. First, install it from the website, and then run ollama run llama2. very interesting data and to me in-line with Apple silicon. Ai for details) Koboldcpp running with SillyTavern as the front end (more to install, but lots of features) Llamacpp running with SillyTavern front end Oct 7, 2023 · Deploy the new Meta Llama 3 8b parameters model on a M1 Pro Macbook using Ollama. Let's try Ollama for the first time. 1; いいですよいいですよ〜〜〜〜！！！！ ベースとなった Llama-3-70B ではたびたび怪しい日本語が返ってくることがありましたが、超自然な文章が生成されています！ Jun 4, 2023 · [llama. Anyway, my M2 Max Mac Studio runs "warm" when doing llama. Christopher Tao. It allows an ordinary 8GB MacBook to run top-tier 70B (billion parameter) models! Apr 19, 2024 · Option 1: Use Ollama. The Apple Silicon hardware is *totally* different from the Intel ones. command used is: ollama run mixtral Is… Mar 29, 2024 · Info. 10, after finding that 3. May 13, 2024 · Deploy the new Meta Llama 3 8b parameters model on a M1/M2/M3 Pro Macbook using Ollama. Llama 3 70B. **We have released the new 2. Jul 27, 2024 · 总结. Performance. May 13. 1. The 8-core GPU gives enough oomph for quick prompt processing. Contribute to kevinhermawan/Ollamac development by creating an account on GitHub. Download Ollamac Pro (Beta) Supports Mac Intel & Apple Silicon. 8 version of AirLLM. cpp 推理框架，用户可以在 MacBook Air 上运行 LLM（通义千问为例）。文章介绍了 ollama 和 llamafile 两种工具，还提供了实用的调试建议。此外，通过 Tailscale 和 Docker 实现远程访问和共享，用户可以在不同设备上灵活使用 LLM。 2023 Macbook Pro 14” with M3 Pro; 2021 Macbook Pro 14” with M1 Pro; 2019 MBP 16” with 2. MacBook Pro. 25 words/s, making it unusable for me. Hardware Used for this post * MacBook Pro 16-Inch 2021 * Chip: Apple M1 Max * Memory: 64 GB * macOS: 14. Apr 21, 2024 · 其实在 Ollama 之前也有一些方案可以做大模型本地部署，但运行效果往往不尽如人意，比如 LocalAI等，另外还需要用到 Windows + GPU 才行，不像 Ollama 直接在 Mac 都能跑了，比如我的电脑就是 Mac Studio 。 We would like to show you a description here but the site won’t allow us. 1, Mistral, Gemma 2, and other large language models. Join Ollama’s Discord to chat with other community members, maintainers, and contributors. Download Ollama on macOS. frxs jptz lwzab gwdwkgcw qgsl tydvo zngljs tebbki hnopijka gqewh