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You can run this LLM on Ollama [0] and then use Continue [1] on VS Code. The setup is pretty simple: * Install Ollama (instructions for your OS on their website - for macOS, `brew install ollama`) * Download the model: `ollama pull yi-coder` * Install and configure Continue on VS Code (https://docs.continue.dev/walkthroughs/llama3.1 [1] https://www.continue.dev/. - Source: Hacker News / 8 days ago
It is! Just downloaded it the other day and while far from perfect it's pretty neat. I run LLAVA and llama (among other models) using https://ollama.com. - Source: Hacker News / 14 days ago
Using Ollama, you can easily create local chatbots without connecting to an API like OpenAI. Since everything runs locally, you do not need to pay for any subscription or API calls. - Source: dev.to / 15 days ago
This is the easy part! They have a nice download page: http://ollama.com/. Once installed, you'll have an icon in your tool bar (or taskbar on Windows) and you can basically "Restart" when needed since they do a ton of updates. - Source: dev.to / 17 days ago
There sort of is, if you install ollama (https://ollama.com) and then execute: ollama run llama2-uncensored it will install and run the local chat interface for llama2 in an uncensored version which gives a little bit better results with less guardrails. Same with wizardlm-uncensored and wizard-vicuna-uncensored. - Source: Hacker News / 25 days ago
The next day I was able to hack something together in a couple hours that actually worked reasonably well. The entire thing is based around Ollama since I wanted to be able to run locally. I started off with a system prompt. - Source: dev.to / about 1 month ago
Go to https://ollama.com/ and download the tool for your operating system. - Source: dev.to / about 1 month ago
I'm not well versed in LLMs, can someone with more experience share how this compares to Ollama (https://ollama.com/)? When would I use this instead? - Source: Hacker News / about 1 month ago
Var openAIClient = new OpenAIClient("api-key", new OpenAIClientOptions { HttpClientHandler = new CustomHttpClientHandler("https://ollama.com/api/") }); Var model = "llama3.1"; Var agent = new OpenAIChatAgent( openAIClient: openAIClient, name: "assistant", modelName: model, systemMessage: "You are a weather assistant.", seed: 0) .RegisterMessageConnector() // convert AutoGen message to... - Source: dev.to / about 2 months ago
Similarly, you could use llama.cpp docker container or Ollama to run local APIs for your LLM models such as Llama 3. - Source: dev.to / about 2 months ago
This project is built using the Retrieval-Augmented Generation (RAG) architecture. I chose to host an embedding model (mxbai-embed-large) and a chat completion model (PHI3) locally using Ollama. For data, I'm using the Hyrule Compendium API. - Source: dev.to / about 2 months ago
Ollama—Install Ollama on your system. This will allow us to use Llama3 on our laptop. Visit their website for the latest installation guide. - Source: dev.to / 2 months ago
If I understand correctly what you are looking for, Ollama might be a solution (https://ollama.com/)?. I have no affiliation, but I lazily use this solution when I want to run a quick model locally. - Source: Hacker News / about 2 months ago
What programming language are you using? I am building a news site based on hackernews posts (https://news.facts.dev/) and I use these tools: https://ollama.com/ (llama3 as self hosted model). - Source: Hacker News / 2 months ago
Whats better in that then ollama with open webui? https://ollama.com/. - Source: Hacker News / 2 months ago
In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike. This tutorial is designed to guide you through the process of creating a custom chatbot using Ollama, Python 3, and ChromaDB, all hosted locally on your system. Here are the key reasons why you need this tutorial:. - Source: dev.to / 2 months ago
Ollama is a self-hosted AI solution to run open-source large language models on your own infrastructure, and Codestral is MistralAI's first-ever code model designed for code generation tasks. - Source: dev.to / 3 months ago
Finally, you need Ollama, or any other tool that letʼs you run a model and expose it to a web endpoint. In the example, we use Meta's Llama3 model. Models like CodeLlama:7b-instruct also work. Feel free to change the .env file and experiment with different models. - Source: dev.to / 3 months ago
Ollama installed on your system. You can visit Ollama and download application as per your system. - Source: dev.to / 3 months ago
I checked my blog drafts over the weekend and found this one. I remember writing it with "Kubernetes Automated Diagnosis Tool: k8sgpt-operator"(posted in Chinese) about a year ago. My procrastination seems to have reached a critical level. Initially, I planned to use K8sGPT + LocalAI. However, after trying Ollama, I found it more user-friendly. Ollama also supports the OpenAI API, so I decided to switch to using... - Source: dev.to / 3 months ago
Ollama is a command-line tool that allows you to run AI models locally on your machine, making it great for prototyping. Running 7B/8B models on your machine requires at least 8GB of RAM, but works best with 16GB or more. You can install Ollama on Windows, macOS, and Linux from the official website: https://ollama.com/download. - Source: dev.to / 3 months ago
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This is an informative page about Ollama. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.