Ollama use cases. For more articles like this, explore our blog section.

Ollama use cases We will also learn about the different use cases and real-world applications of Llama 3. The Repo has numerous working case as separate Folders. This includes having the necessary Aug 27, 2024 · Depending on your specific use case, there are several offline LLM applications you can choose. Ollama version 0. OS Windows11. After installing, you can open the command prompt and type “ollama pull llama2”, which will download the latest quantized image for Llama2; by default, it pulls a 7B model. Introducing Meta Llama 3: The most capable openly available LLM to date Apr 18, 2024 · Instruct is fine-tuned for chat/dialogue use cases. Multi-modal RAG Oct 16, 2024 · This patch set is tring to solve #3368, add reranking support in ollama based on the llama. Key Benefits of Fine-Tuning with Ollama. Structured Data Extraction from Images. cpp and makes it easier to download LLMs. Mar 13, 2024 · To use any model, you first need to “pull” them from Ollama, much like you would pull down an image from Dockerhub (if you have used that in the past) or something like Elastic Container Registry (ECR). Nov 18, 2024 · With the CLI version of Ollama, you can run models, generate text, perform data processing tasks like sentiment analysis, automate workflows with scripts, create custom models, and integrate Ollama with external tools or APIs for advanced applications. Forks. You can work on any folder for testing various use cases The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing. cpp to 17bb9280 The Repo has numerous working case as separate Folders. 2 to automatically interpret sales Nov 4, 2024 · In the rapidly evolving AI landscape, Ollama has emerged as a powerful open-source tool for running large language models (LLMs) locally. Step 3: Run Ollama Using Docker. You can use pre-trained models to create summaries, generate content, or answer specific questions. I hope you find these llama 3 use cases helpful, if you have any queries or suggestions comment below. LocalAI's ability to run efficiently on standard hardware without a GPU, combined with its flexible configuration options, makes it a compelling choice for many users. Adjust parameters and training settings as needed to optimize performance. By integrating Ollama into your fine-tuning process, you can leverage its unique features to optimize model performance for specific tasks. See model page. Feel free to check it out with the link below: Aug 26, 2024 · Ollama is the new kid on the block when it comes to running large language models (LLMs) and image generation capabilities. The intended use cases for Llama 3. Explore Ollama Usecases. embed_images(image_paths) Storage: Store the generated embeddings in a vector Nov 25, 2024 · If you’re unsure which model to use, visit Ollama’s model library for detailed descriptions and recommended use cases. Example: ollama run llama2. Choose Ollama for offline prototyping, local inference, or scenarios where simplicity and privacy are critical. Sep 5, 2024 · We’ll learn why Llama 3. Instruction tuned models are intended for visual recognition, image reasoning, captioning, and assistant-like chat with images, whereas pretrained models can be adapted for a variety of image reasoning tasks. Instantiation The Repo has numerous working case as separate Folders. It also provides a variety of examples to help users understand how to use the tool effectively. We are using the ollama package for now. 6 days ago · Real-World Applications and Use Cases. The Granite dense models are available in 2B and 8B parameter sizes designed to support tool-based use cases and for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing. . You can work on any folder for testing various use cases This repo brings numerous use cases from the Open Source Ollama Resources. This comprehensive guide explores how Ollama brings advanced AI capabilities to your personal computer, ensuring data privacy and security. Here are some key use cases: Creative Writing: With the uncensored text generation model, you can explore creative writing projects, generate ideas, or even co-write stories. As noted by Alex Rich, PhD, Ollama plays a pivotal role in simplifying the extraction of geographical data from medical journal articles. Here are some examples of how Ollama can impact workflows and create innovative solutions. However, Ollama also offers a REST API. tools 2b 8b Jul 17, 2023 · Ollama is reshaping the AI landscape by enabling local deployment of powerful language models. Where might I really want to use this? It's a wrapper around llama. DevSecOps DevOps CI/CD View all use cases By industry Ensure Ollama server is running before use; Make sure Llama 3. Example: ollama run llama3 ollama run llama3:70b. Data Extraction in Healthcare Studies. Features When using this Ollama client class, messages are tailored to accommodate the specific requirements of Ollama’s API and this includes message role sequences, support for function/tool calling, and token usage. RAM 64GB. Jun 12, 2024 · This command downloads the Ollama image to your local machine, allowing you to run it inside a Docker container. 2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). Others may require sending them a request for business use. Ollama supports various models, including Llama 2 and Mistral, each with unique strengths. If you are a developer, researcher, or enthusiast wanting LOCAL control over AI models for specific tasks like language translation, code generation, or sentiment analysis, Ollama is ideal. The Repo has numerous working case as separate Folders. For more articles like this, explore our blog section. Let’s dive deep into a detailed comparison of Ollama and GPT4All, exploring their differences, advantages, and use cases. The practical applications of Ollama, Llama Stack, and AgentOps are vast, allowing developers to tackle a variety of challenges. Execute command ollama create with name you wish to use and after -f Feb 10, 2024 · The article discusses the use of Ollama, a wrapper around llama. Sep 25, 2024 · The Llama 3. To start an Ollama container, use the Docker run Apr 7, 2024 · With Ollama and this initial sentiment analysis use case under our belt, we will now explore further applications of LLMs in our support engineering domain, such as case summarization, knowledge Dec 14, 2024 · Conclusion. Supported Languages Alfred is a robust conversational model created by LightOn, based on the Falcon 40B model. Sep 25, 2024 · The Meta Llama 3. Would be pretty cool if we can support JSON structured outputs, since that unlocks pretty cool use-cases. To run a model, you might use a command like: ollama run llama2 --input "Your document text here" This command will process the input text using the Llama 2 model, providing you with the output directly in your terminal. log Ollama Use Case: Interacting with an LLM. cpp for model training, inference, and other advanced AI use cases. In summary, the choice between LocalAI and Ollama largely depends on the specific use case and performance requirements. This allows us to use any language that we like and doesn’t require us to rely on a library being available. 3. Use case 1: Start the daemon required to run other commands. cpp, Ollama, GPT4All, llamafile, and others underscore the demand to run LLMs locally (on your own device). Ollama can be used in a variety of scenarios, including professional settings, personal use, and educational Nov 12, 2024 · mmarco@neumann ~/ollama $ export CUDA_PATH=/opt/cuda/ mmarco@neumann ~/ollama $ make help-runners The following runners will be built based on discovered GPU libraries: 'default' (On MacOS arm64 'default' is the metal runner. Parameter Sizes. It’s going to be an exciting and prac Aug 26, 2024 · Common Use Cases for Ollama. Suitable for educational tools and interactive learning environments. granite-embedding. In this flow we have simplified a bit and removed the Human factor for simplicity. Text generation. For instance, in the e-commerce sector, embeddings can improve product Mar 8, 2024 · To address this, Ollama supports the integration of various “front-end” applications, each offering a unique interface and set of features tailored to different user preferences and use cases. We have written a CLI tool to help you do just that! You can point the rag CLI tool to a set of files you've saved locally, and it will ingest those files into a local vector database that is then used for a Chat Q&A repl within your terminal. 4. the Github repo of Ollama is a very complete documentation. Run models locally Use case . Jan 23, 2024 · The initial versions of the Ollama Python and JavaScript libraries are now available, making it easy to integrate your Python or JavaScript, or Typescript app with Ollama in a few lines of code. You will see the Ollama icon in your hidden icons, which means that you can run Ollama Sep 27, 2024 · In this video, we are going to use Ollama and Hugging Face to get started with Llama 3. Ollama’s flexibility opens a world of possibilities for diverse applications, making it a valuable resource across multiple domains. Jul 27, 2024 · Memory should be enough to run this model, then why only 42/81 layers are offloaded to GPU, and ollama is still using CPU? Is there a way to force ollama to use GPU? Server log attached, let me know if there's any other info that could be helpful. Readme License. Aug 26, 2024 · Use Cases for Ollama in Home Assistant Here are a few practical use cases for utilizing Ollama : Smart Queries : You can ask questions like “What’s the temperature in the living room?” or “Are the lights turned off?” and get real-time responses, enhancing the interactivity of your controlled environment. 2-Vision model is downloaded; Jul 18, 2023 · Chat is fine-tuned for chat/dialogue use cases. Here’s a simple way to do this: Configure Your Model: Select and Load Your LLM: In the Ollama Web UI, select the llama3: 8b model from the list of available LLMs. Command R+ is Cohere’s most powerful, scalable large language model (LLM) purpose-built to excel at real-world enterprise use cases. It’s designed to be used for both chat and instruct use cases. Use cases One common use case is chatting with an LLM about files you have saved locally on your computer. 8B: ollama run granite3-dense:8b. The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases. Those involved in sensitive sectors (healthcare, finance) where data privacy is paramount will find a robust ally in Ollama. The Ollama Python and JavaScript libraries have been updated to support structured outputs. Aug 26, 2024 · Use Cases When to Use Ollama. The most basic usage requires a minimal learning curve and setting it up (on Linux) is one line of command. With Ollama, developers can create highly responsive AI-driven chatbots that run entirely on local servers, ensuring that customer interactions remain private. Versatile Use Cases. Stars. Nov 18, 2024 · Common use cases for the CLI. 0 stars. 5. With the growing demand for advanced AI technologies, Ollama aims to simplify the process, allowing anyone—from hobbyists to professionals—to engage with AI in powerful ways. Apr 28, 2024 · Use Cases: Applications requiring logical reasoning and advanced question answering. cpp: For optimal performance, integrate the models with ollama using llama. You can work on any folder for testing various use cases. CPU Intel i7 13700KF. Now it can be used directly and supports tool calling. Apr 29, 2024 · Ollama offers a user-friendly interface and detailed documentation, making it easy for users to get started. Watchers. This guide provides more insights into the various AI models available for use with Ollama, detailing their specific Intended Use Intended Use Cases: Llama 3. While this works perfectly, we are bound to be using Python like this. Both libraries include all the features of the Ollama REST API, are familiar in design, and compatible with new and previous versions of Ollama. You can work on any folder for testing various use cases Oct 23, 2024 · This brings us to this blog, where we will discuss how to configure using Ollama with Llama Version 3. Follow the repository instructions to download and set them up for your environment. Just remember to prioritize security and be mindful of how these models are used, especially in public or sensitive environments. Here are some real-world examples of using Ollama’s CLI. Oct 23, 2024 · By use case. To download Ollama, head on to the official website of Ollama and hit the download button. Getting started. Content Generation: Useful for businesses that want to generate quick informative content or summaries of longer pieces of writing, offering a powerful AI assistant. 2-Vision is intended for commercial and research use. Code: Jun 3, 2024 · Developed with a vision to empower individuals and organizations, Ollama provides a user-friendly interface and seamless integration capabilities, making it easier than ever to leverage the power of LLMs for various applications and use cases. Example Code Snippet ollama fine-tune --model gpt-3 --data custom_data. txt Dec 14, 2024 · Support for Multiple Data Formats: Ollama can handle various data formats, making it versatile for different use cases. Open your terminal or command prompt. Here's how to do it: First, save your modelfile to a text file. 🚀 Describe the new functionality needed Ollama is the main way for local inference on CPUs. Document Understanding: Analyzing complex documents that include charts and graphs. Learn about its key features, including support for models like Llama 2 and Mistral, easy integration, and customization options. The API provides a straightforward method to convert images into embeddings, which can then be stored in a vector database for efficient retrieval. 2 vision models span commercial and research domains, including: Visual Question Answering: Responding to questions based on visual inputs. Example: ollama run llama3:text ollama run llama3:70b-text. This is tagged as -text in the tags tab. Get up and running with large language models. Mar 5, 2024 · In my case, I use a dual-socket 2x64 physical cores (no GPU) on Linux, and Ollama uses all physical cores. Nov 3, 2023 · In any case improving heterogeneous computing by implementing the ram-vram buffering described above might be useful. Example: ollama run llama2:text. Introducing Meta Llama 3: The most capable openly available LLM to date May 4, 2024 · Meta dropped Llama-3 just a few weeks ago and it has taken everyone by surprise. Here are some compelling use cases: 1. Apache-2. This includes setting parameters for model size, batch size, and learning rate. Example Command. Let’s consider a scenario where you want to interact with your LLM about a general topic. pdf at main · jolly-io/ollama_pdf_RAG_use_case Chat with local LLMs using n8n and Ollama. You can work on any folder for testing various use cases Oct 19, 2024 · Whether you’re looking to experiment with uncensored text generation or seeking a powerful coding assistant, Ollama’s versatility makes it an excellent choice for many use cases. Analyze the Data: Understand the data related to your use case. Ollama is an application for running LLMs (Large Language Models) and VLMs (Vision Language Models) locally. Train Your Model: Use Ollama's training environment to train your model with your prepared dataset. txt Oct 30, 2024 · This article explores their specifications, use cases, and benefits and then explains how to convert them for the Ollama. Sep 26, 2024 · Use cases of Llama vision models. Are there any way to make the utilize the full power? Sep 25, 2024 · The Meta Llama 3. The Llama 3. 5 days ago · When benchmarking Ollama models, consider the following factors: Model Selection: Choose the appropriate model based on your specific use case. json --epochs 5 Mar 13, 2024 · Using Ollama’s REST API. The introduction of embedding models by Ollama opens up plenty of use cases across various industries. 0 server. Where might I want to download models in production like this? In production I would rather deploy thoroughly tested models. You can work on any folder for testing various use cases Nov 29, 2024 · Applications and Use Cases. Community Support: A robust community forum provides assistance and shared experiences, enhancing the learning curve for new users. As the inference performances does not scale above 24 cores (in my testing), this is not relevant. 2 and how to use Swarm from OpenAI in establishing a reliable multi-agent system for Feb 27, 2024 · ollama create mario -f . Once downloaded, these GGUF files can be seamlessly integrated with tools like llama. Oct 21, 2024 · They are designed to support tool-based use cases and for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing. txt Feb 10, 2024 · The article discusses the use of Ollama, a wrapper around llama. cpp that simplifies the downloading of LLMs. Learn more. Strengths: Optimized for conversational interactions and long context tasks. Both allow users to run LLMs on their own machines, but they come with distinct features and capabilities. This repo brings numerous use cases from the Open Source Ollama - kendogg09/Ollama_1 This repo brings numerous use cases from the Open Source Ollama - efunmail/PromptEngineer48--Ollama Apr 18, 2024 · Instruct is fine-tuned for chat/dialogue use cases. The popularity of projects like llama. Nov 25, 2024 · Use cases for Ollama. Designed for enterprise use cases, ensuring scalability and robustness. /Modelfile ollama run mario Use Cases: Is it worth using? The simple answer is YES and I will tell you why I believe that. For example, a business could use Llama 3. These are the default in Ollama, and for models tagged with -chat in the tags tab. Ollama ships with some default models (like llama2 which is Facebook’s open-source LLM) which you can see by running. To integrate Ollama with LangChain, install the langchain-ollama package: %pip install -qU langchain-ollama Note that you may need to restart your kernel to apply the updates. 1 is great for RAG, how to download and access Llama 3. 3. Nov 13, 2024 · Ollama is an exciting and versatile tool designed to help you integrate large language models (LLMs) into your applications seamlessly. - ollama_pdf_RAG_use_case/LLMs. Jun 10, 2024 · In this article, we will focus on getting up and running with Ollama with the most common use cases. Llama3 Cookbook with Ollama and Replicate Use Cases Use Cases 10K Analysis 10Q Analysis Email Data Extraction Github Issue Analysis Vector Stores Dec 6, 2024 · Ollama now supports structured outputs making it possible to constrain a model’s output to a specific format defined by a JSON schema. Llama-3 8B with a context length of over 1M Nov 18, 2024 · Common use cases for the CLI. 💡 Why is this needed? Sep 18, 2024 · For an example of how to use Bespoke-Minicheck in a RAG application using Ollama, see the RAG example on GitHub. The author is seeking real-world production use cases for Ollama, despite its hype and the fact that it hinders performance due to its model offloading capability. Creating local chatbots. Utilize ollama with llama. The flow Oct 21, 2024 · Multilingual dialog use cases; Granite dense models. Some of these tools are completely free for personal and commercial use. Pre-trained is without the chat fine-tuning. They outperform many of the available open source and closed chat models on common industry benchmarks. You can work on any folder for testing various use cases Sep 19, 2024 · I have noticed in CPU only use cases the models are not using the CPU to the full potential. Consider the following examples: The Repo has numerous working case as separate Folders. The following use cases illustrate how to utilize the ‘ollama’ command in various scenarios. It provides a simple API for creating, running, and managing models, along with a library of pre-built models that can be easily utilized in various applications. Some popular options include Mistral , known for its efficiency and performance in translation and text summarization, and Code Llama , favored for its strength in code generation and programming-related tasks. Here are 10 impressive examples of what it can do. Pre-trained is the base model. cpp, ollama, lm studio, and so on) but looks like they are struggling to mix multiple silicons. This guide explores Ollama’s features and how it enables the creation of Retrieval-Augmented Generation (RAG) chatbots using Streamlit. How to Download Ollama. Let's assume you've saved it as sausagerecipe. Sep 21, 2024 · Each model serves a unique function, catering to different needs and use cases. The power and versatility of Ollama, combined with its seamless integration capabilities, open up a vast array of potential applications and Aug 26, 2024 · Two significant players in this space are Ollama and GPT4All. Dec 13, 2024 · Run a Model: To interact with a model, use: ollama run <name-of-model> Documentation: For more commands, refer to the Ollama documentation. 1. tools 2b 8b The Repo has numerous working case as separate Folders. 0 watching. GPU Nvidia RTX 4090. Conclusion Nov 20, 2024 · (genericPython) madhavarora@Air genericPython % ollama -h Large language model runner 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 stop Stop a running 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 By use case. 1 locally using Ollama, and how to connect to it using Langchain to build the overall RAG application. txt Explore the Ollama repository for a variety of use cases utilizing Open Source PrivateGPT, ensuring data privacy and offline capabilities. With simple installation, wide model support, and efficient resource management, Ollama makes AI capabilities accessible Apr 18, 2024 · Instruct is fine-tuned for chat/dialogue use cases. Aug 26, 2024 · Ollama's powerful capabilities enable a spectrum of research applications across various fields. Nov 9, 2024 · This approach allows Ollama to support a broad range of models, from small, lightweight models suitable for CPU use to large, computationally intensive models that require significant GPU power. Some of its features include: Nov 15, 2024 · Set Up Configuration Files: Modify the configuration files to suit your specific use case. cpp. Jul 11, 2024 · /bye (once the model is running) Exit ollama /? (once the model is running) List all the available commands; Many more commands exist for more complex use cases like creating new fine-tuned models. However, the effectiveness and scalability of the application drastically A demo Jupyter Notebook showcasing a simple local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs. 5 days ago · Embedding Generation: Use the Ollama API to generate embeddings for your images. References. Introducing Meta Llama 3: The most capable openly available LLM to date Ollama relies on pre-trained models. Whether you are building custom AI solutions or experimenting with natural language interfaces, Ollama provides a powerful platform for creating, managing, and serving LLM models. Apr 10, 2024 · Use Cases. In this post, we will explore two such front-end applications that serve as excellent ChatGPT replacements: Nov 13, 2024 · Ollama ChatGPT offers a robust solution for automating communication within various platforms, particularly in team collaboration tools like Mattermost. Customization: Tailor the model's responses to better align with your specific use case, ensuring that the output is relevant and contextually appropriate. This means Ollama doesn’t inherently require a GPU for all use cases. Some of the use cases I have been using it for are mentioned below: Nov 26, 2024 · The world of large language models (LLMs) is evolving rapidly, offering diverse tools for developers to integrate powerful AI into their workflows. Retrieval-Augmented Image Captioning. 6 days ago · This tool makes it significantly easier for users to access machine learning models for a range of applications, from basic conversation simulators to complex data analysis tasks. Dec 13, 2024 · Ollama is an open-source framework that empowers users to run Large Language Models (LLMs) directly on their local systems. 4 days ago · Run Models: Use the command line to execute models and process documents directly within LobeChat. Install it on your system. Depending on your use case, modify the script accordingly. 2B: ollama run granite3-dense:2b. Probably not much for the single-prompt use case, but for parallel operations. Environment Setup: Ensure your local environment is configured correctly. Potential use cases include: Medical exam question answering; Supporting differential diagnosis; Disease information (symptoms, cause, treatment) query; General health information query; Example prompts What are the symptoms of the common cold? What causes the seasonal flu? What medication would be prescribed for a headache? References After doing sequential graph execution in LangGraph, I wanted to explore the conditional and parallel execution graph flow, so I came up with a contrived example, where I have expanded a simple RAG use case. Command R+ balances high efficiency with strong accuracy, enabling businesses to move beyond proof-of-concept, and into production with AI: Jan 26, 2024 · I set up a simple project to demonstrate how to use Ollama Python lib with Streamlit to build a web app by which users can chat with any model supported by Ollama. 2 "Summarize the following text:" < long-document. Use cases for structured outputs include: Parsing data from documents; Extracting data from images Jun 3, 2024 · As most use-cases don’t require extensive customization for model inference, Ollama’s management of quantization and setup provides a convenient solution. The lack A simple CLI tool to effortlessly download GGUF model files from Ollama's registry. By integrating Ollama ChatGPT, users can streamline their workflows and enhance productivity through automated responses and intelligent assistance. This n8n workflow allows you to seamlessly interact with your self-hosted Large Language Models (LLMs) through a user-friendly chat interface. Conversational Agents: Ollama’s models are particularly suited for creating engaging conversational agents that can handle customer queries. Identify patterns, anomalies, and key features that the model should focus on. This allows for efficient execution and management of the models in Define the Use Case: Start by clearly defining the problem you want the model to solve, including any specific requirements or outcomes expected. Aug 26, 2024 · Compatibility Errors: If you’re connecting Ollama with external services like n8n, ensure you’re using the correct configuration within those services to link back to your Ollama Base URL, as discussed here. Summarizing a large text file: ollama run llama3. import ollama embeddings = ollama. Applications and Use Cases. Installation. To import a modelfile to Ollama using the command line, you can use the ollama create command. Whether you are running models locally, deploying servers for real-time applications, or leveraging open-source repositories, tools like Ollama, vLLM, Hugging Face, LangChain, and Open WebUI have become indispensable. Introducing Meta Llama 3: The most capable openly available LLM to date Mar 7, 2024 · Ollama is an open-souce code, ready-to-use tool enabling seamless integration with a language model locally or from your own server. By default, Ollama uses 4-bit quantization. Developers: IBM Research Feb 9, 2024 · Ollama is enjoying a LOT of hype, but I'm struggling to find a real world production use case for it. This allows you to avoid using paid versions of commercial APIs Mar 21, 2024 · To download it, go to: Download Ollama on Windows. Run Ollama locally: Once the setup is complete, you can start Ollama by running: python run_ollama. 2, Meta's new open-source model. People are coming up with wild use cases every day, pushing the model to its limits in incredible ways. By connecting to Ollama, a powerful tool for managing local LLMs, you can send prompts and receive AI-generated responses directly within n8n. Apr 18, 2024 · Instruct is fine-tuned for chat/dialogue use cases. Start by downloading and running the model: ollama run bespoke-minicheck Next, write the prompt as follows, providing both the source document and the claim: The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing. DevSecOps DevOps CI/CD View all use cases By industry Why Does Ollama Use Shard GPU Memory Before Filling Dedicated Ones? #7330. Discover practical applications Utilize Ollama's resources or external tools as needed for model creation. modelfile. Basically: patch 1 - bump llm/llama. py. May 4, 2024 · With llama 3 use cases, vast potential, and endless possibilities, it is set to reshape how we interact with technology and explore the realms of artificial intelligence. Introducing Meta Llama 3: The most capable openly available LLM to date Nov 11, 2024 · 5. cpp (edc26566), which got reranking support recently. 0 license Activity. This integration of text and image reasoning offers a wide range of potential applications, including: Document understanding: These models can extract and summarize information from documents containing images, graphs, and charts. ollama homepage My collection of Ollama Modelfiles I created for various use-cases I have. ollama list Nov 25, 2024 · Use cases for Ollama. Weaknesses: May 9, 2024 · Ollama in the Real World: Applications and Use Cases. Nov 16, 2024 · Both vLLM and Ollama cater to different audiences and use cases: Choose vLLM for production-grade applications where high throughput, low latency, and scalability are essential. Use Cases for Ollama ChatGPT Apr 2, 2024 · We'll explore how to download Ollama and interact with two exciting open-source LLM models: LLaMA 2, a text-based model from Meta, and LLaVA, a multimodal model that can handle both text and images. Enter Ollama , an open-source tool that empowers e-commerce businesses to efficiently deploy large language models (LLMs) locally. Additionally, it offers a large list Ollama Use Cases in E-commerce E-commerce is a rapidly evolving field where businesses are constantly looking for ways to enhance customer experience, streamline operations, and boost engagement. Multimodal Ollama Cookbook# This cookbook shows how you can build different multimodal RAG use cases with LLaVa on Ollama. I didn't look at current code (in llama. 2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. Integrate with your platform: Note: Previously, to use Ollama with AutoGen you required LiteLLM. # Command R. 2. txt Nov 18, 2024 · Common use cases for the CLI. arnoyz hxw ucblnux ffcshz qxutzzwmn twrzo uluh vqtg xpn woqdi