Ollama android reddit. Don't know what Ollama is? Learn more at ollama.

Ollama android reddit Subreddit to discuss about Llama, the large language model created by Meta AI. 134K subscribers in the LocalLLaMA community. Set to * to allow all cross-origin requests (required for API usage). I have a 3080Ti 12GB so chances are 34b is too big but 13b runs incredibly quickly through ollama. Get support, learn new information, and hang out in the subreddit dedicated to Pixel, Nest, Chromecast, the Assistant, and a few more things from Google. Hi there! Welcome to r/termux, the official Termux support community on Reddit. r/termux A chip A close button Télécharger l'app Télécharger l’application Reddit Se connecter Se connecter à Reddit We would like to show you a description here but the site won’t allow us. Install ollama models and chat on open-webui! Any debugging questions you have should be in ollama or open-webui docs or Google! Posted by u/Current_Housing_7294 - 1 vote and 1 comment I've been working on a flutter app for running llama. Hey all, I'm trying to find an app for Android that acts as a single place for me to chat with my Ollama models, as well as chat with ChatGPT, Gemini, Perplexity, and Claude via API key, but trying to search for this has been incredibly frustrating. We would like to show you a description here but the site won’t allow us. here ollama serve I'm using ollama as a backend, and here is what I'm using as front-ends. I use the Phi-3 model, that you can install directly in the app. I'm running the backend on windows. /ollama pull openchat. One shot; . How good is Ollama on Windows? I have a 4070Ti 16GB card, Ryzen 5 5600X, 32GB RAM. 0) can only load the model, hanging indefinitely when attempting inference, which sucks because I strongly prefer the design of ChatterUI! Feb 13, 2025 · You actually can! Powerful Android phones can now run Large Language Models (LLMs) like Llama3 and DeepSeek-R1 Locally without the need of ROOT. This will allow you to run ollama in your device I then installed python3-venv and create an venv Inside it, i run pip install open-webui And then run open-webui serve to start the web interface. OLLAMA_HOST Open host port in host:port format. If so, what kind of challenges have you run into? MLC LLM for Android is a solution that allows large language models to be deployed natively on Android devices, plus a productive framework for everyone to further optimize model performance for their use cases. Tavern is a user interface you can install on your computer (and Android phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the community create. Sad reality is android land takes a lot of tinkering. If you want uncensored mixtral, you can use mixtral instruct in llama. Get the Reddit app Scan this QR code to download the app now. Users with flair Termux Core Team are Termux developers and moderators of this subreddit. This guide shows you how to run LLMs locally on your Android using Ollama. I work on the Android team at Google, as a Developer Relations engineer and have been following all the amazing discussions on this space for a while. Important: This app does not host a Ollama server on device, but rather connects to one and uses its api endpoint. cpp. It covers how to set it up, download/run a few models, and some thoughts on Ollama’s design philosophy. With ollama I can run both these models at decent speed on my phone (galaxy s22 ultra). I originally forked it off Sherpa but the codebase has far outgrown what Sherpa was. Ollama takes many minutes to load models into memory. I tried getting CogVLM to work, and that to my knowledge is the current best Vision LLM, but apparently one of the Python modules required to run it, Deepspeed, requires a GPU with CUDA support (a. I tried starcoder2:7b for a fairly simple case in python just to get a feel of it, and it generated back whole bunch of C/C++ code with a lot of comments in Chinese, and it kept printing it out like in an infinite loop. 8 which is under more active development, and has added many major features. Now that my RAG chat setup is working well, I decided that I wanted to make it securely remotely accessible from my phone. ip. Have the greatest experience while keeping everything private and in your local network. The design is that flat by choice. There's also support for Ollama if you want to run models remotely. k. cpp (didn't try dolphin but same applies) and just add something like "Sure" after the prompt if it refuses, and to counter positivity you can experiment with CFG. Install some models. /ollama serve. com I did get Llava 1. This project helps you install Ollama on Termux for Android. I wanted to share Option 3 in your instructions to add that if you want to run Ollama only within your local network, but still use the app then you can do that by running Ollama manually (you have to kill the menubar instance) and providing the host IP in the OLLAMA_HOST environment variable: OLLAMA_HOST=your. Alternatively, use :port to bind to localhost:port. So I was looking at the tried and true openai chat interface. the problem with the UI installation option is a pain and i talked already to several Ollama programmers to fix that issue, they promised to fix it, so the installation will be as easy as copying the file of my UI into a certain folder and opening the url in browser. /ollama run gemma (or openchat, or whatever model you have). OLLAMA_MODELS Absolute path to save models. SillyTavern is a fork of TavernAI 1. In the last days I have decided to code a very basic android apk using Kotlin and Ollama API to run models locally on my device. But if you already have it running on a pc you can just inst We would like to show you a description here but the site won’t allow us. You can run tmux new -s ollama to create a session for multiple panels Then Ctrl+b, Ctrl + " to create new panel. cpp and Kobold aren’t that much harder. 7K subscribers in the ollama community. I was curious if any of you folks have tried running text or image models on Android (LLama, Stable Diffusion or others) locally. If you mean an app to use the API, that’s what tools like open web ui do, and you also mentioned that. Use Ollama's command-line tools to interact with models. On my pc I use codellama-13b with ollama and am downloading 34b to see if it runs at decent speeds. . Since ollama is easy to run and can handle multiple gguf models, I’ve considered using it for this project, which will involve running models such as llama 13b with low quantization, or even larger 70b ones with a much more significant quantization. Now I’m thinking it should be more like slack/teams where you can set a “channel” and in the “channel” properties you can set all of the parameters you desire. Here are the things i've gotten to work: ollama, lmstudio, LocalAI, llama. I tried to mimic the ChatGPT app for android. e. The process seems to work, but the quality is terrible. Just install termux from fdroid not from play store because from play store is not updated anymore then just install Ollama like you do on a computer. As a follow-up, I just published a guide on installing and running Ollama on WSL. Follow open-webui documentation to run in a docker container and point it at the ollama IP address. You can compile the models yourself: their repo has a script you can point at any huggingface transformers repo llama-based model and it'll do the quantization and cross compilation for you, then you can replace the files in android. you set the I don't know what noob friendly thing ollama is, but I suspect that's probably the cause. Run large language models (LLMs) like Llama 2, Phi, and more locally. ollama was the easiest and it's so simple to install. This guide provides instructions on how to build and run Ollama from source on Termux. A Termux environment set up and Mar 3, 2025 · I’m having a hard time understanding the question. Ollama is so pleasantly simple even beginners can get started. Hi r/LocalLLaMA ! In the last week, I had the idea to create an Ollama client, and so I did. Llama. Features. Jan 2, 2025 · Follow ollama documentation online to run in a docker container. Here we talk about its usage, share our experience and configurations. I know that the dark mode colors have a kinda bad contrast, but I tried to keep it as consistent with the Ollama branding as possible (yk, the flatness); also on OLED devices, it saves battery that way. Everything runs locally and accelerated with native GPU on the phone. . Or check it out in the app stores But it works with a few local LLM back-ends line Ollama, and The easier way is to install the 'Private AI' app. Q5_K_M on my Pixel 8 Pro (albeit after more than a few minutes of waiting), but ChatterUI (v0. For coding the situation is way easier, as there are just a few coding-tuned model. Yet, the ability to run LLMs locally on mobile devices remains Get the Reddit app Scan this QR code to download the app now. 125 votes, 66 comments. Feb 17, 2025 · Then run ollama serve. Feb 2, 2025 · 应用/项目名 适用平台 使用资源 交互方式 简介; Termux+Ollama: Android: NPU+CPU: 命令行: 安卓的终端模拟器，通过proot-distro可以模拟各种Linux发行版。 Sep 24, 2024 · Ollama allows you to run local language models like Llama 2 and other powerful AI models without needing to rely on cloud services. It works on most Android phones with good processors. In order to start the server, I have to resort to Termux, where I installed ollama locally and run . I’m aware that this might involve using lots of resources and a powerful gpu. But I think the question u/Denegocio is asking is about a scenario where an actual OpenAI LLM needs to be used, with a valid API Key, in the given langroid example (unless I misunderstood) -- this is in fact the default scenario in Langroid, i. OLLAMA_ORIGINS Configure CORS. Still I have two major limitations, one of which you probably will not be surprised about. Is there an open source Android app project out there that allows us to simply connect to an ollama/lmstudio local server deployed on our pc? If not is there an app that allows us to plug in an api key from a provider like groq and have a chat conversation on the phone 4. /ollama pull gemma . why isn't there an android app the leverages llamacpp, llama index, whisper, and tesseract for a general local assistant? if my raspberry pi can run it with python, it seems like there should be a encapsulated apk somewhere but I haven't seen any. Ollama on Android using Termux. Or check it out in the app stores     We would like to show you a description here but the site won’t allow us. cpp compatible models locally on Windows, android and linux. Here we'll use openchat (ChatGPT-4 based) and gemma (Gemini based). This means faster AI, works offline, and keeps your data private. Termux is a terminal emulator application for Android OS with its own Linux user land. It works amazing with Ollama as the backend inference server, and I love Open WebUi’s Docker / Watchtower setup which makes updates to Open WebUI completely automatic. /ollama run gemma "Summarise for me: $(cat README May 17, 2024 · Ollama, an open-source project, is one tool that permits running LLMs offline on MacOS and Linux OS, enabling local execution. Ouvrir le menu Ouvrir l’onglet de navigation Retour à l’accueil de Reddit. Also, while using Ollama as embedding provider, answers were irrelevant, but when I used the default provider, answers were correct but not complete. The app is free, except for the larger models, which you probably don't want to run on a phone anyway. 2. I like the Copilot concept they are using to tune the LLM for your specific tasks, instead of custom propmts. use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. You can get it here: GitHub… LLM provider: Ollama LLM model: Llama 2 7B When I choose Ollama as embedding provider, embedding takes a comparatively longer time than while using the default provider. Way faster than in oobabooga. Don't know what Ollama is? Learn more at ollama. address. 7. A modern and easy-to-use client for Ollama. what's up with that? I don't want to learn kotlin or android studio. a, Nvidia) and I have an AMD GPU. LocalAI adds 40gb in just docker images, before even downloading the models. Ollama is an API server for local LLMs that’s super easy to set up. I want to run Stable Diffusion (already installed and working), Ollama with some 7B models, maybe a little heavier if possible, and Open WebUI. 6 working in Ollama, and its responses range from okay to good, but I am wondering if there is a better option. LM studio also has an API server. Prerequisites. com Yes when using the ollama endpoint, the API key is needed but ignored (this is more due to how the OpenAI Python client is defined). The (un)official home of #teampixel and the #madebygoogle lineup on Reddit. So I’m not getting what the hard Hey, thank you for all of your hard work! After playing around with Layla Lite for a bit, I found that it's able to load and run WestLake-7B-v2. The best ones for me so far are: deepseek-coder, oobabooga_CodeBooga and phind-codellama (the biggest you can run). You can then run these either as a chat session, or one-shot Chat session; . Yes this is possible you need to have a good smartphone with enough raw and a nice storage capability. My weapon of choice is ChatBox simply because it supports Linux, MacOS, Windows, iOS, Android and provide stable and convenient interface. ktl rgztn bjtrjd mhli lqmc wbzyn tooqa ogb gqttmf piilvw