How To Run DeepSeek Locally On Windows?
Here is a step-by-step guide on how to run DeepSeek locally on Windows: Install Ollama Visit the Ollama Website: Open your web browser and go to Ollama’s official website. Download the Windows Installer: On the Ollama download page, click the “Download for Windows” button. Save the file to your computer, usually in the downloads folder. Run the Installer: Locate the downloaded file (e.g., OllamaSetup.exe) and double-click to run it. Follow the on-screen instructions to complete the...
Using Ollama with Python
Ollama provides a Python SDK that allows you to interact with locally running models directly from your Python environment. This SDK makes it easy to integrate natural language processing tasks into your Python projects, enabling operations like text generation, conversational AI, and model management—all without the need for manual command-line interactions. Installing the Python SDKTo get started, you’ll need to install the Ollama Python SDK. You can do this using pip: 1pip install...
Interacting with the Ollama API
Ollama provides an HTTP-based API that allows developers to programmatically interact with its models. This guide will walk you through the detailed usage of the Ollama API, including request formats, response formats, and example code. Starting the Ollama ServiceBefore using the API, ensure the Ollama service is running. You can start it with the following command: 1ollama serve By default, the service runs at http://localhost:11434. All endpoints start with:...
Interacting with Ollama Models
Ollama offers multiple ways to interact with its models, with the most common being through command-line inference operations. Command-Line InteractionThe simplest way to interact with the model is directly through the command line. Running the Model Use the ollama run command to start the model and enter interactive mode: 1ollama run <model-name> For example, to download and run the deepseek-r1:1.5b model: 1ollama run deepseek-r1:1.5b Once the model is running, you can directly input...
Ollama Core Concepts
Ollama is a localized machine learning framework designed for various natural language processing (NLP) tasks. It focuses on model loading, inference, and generation, making it easy for users to interact with large pre-trained models deployed locally. ModelsModels are the heart of Ollama. These are pre-trained machine learning models capable of performing tasks like text generation, summarization, sentiment analysis, and dialogue generation. Ollama supports a wide range of popular...
Ollama Commands Overview
Ollama CommandsOllama offers a variety of command-line tools (CLI) for interacting with locally running models. To see a list of available commands, you can use: 1ollama --help This will display the following: 12345678910111213141516171819202122232425Large language model runnerUsage: 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 Models with Ollama
To run a model in Ollama, use the ollama run command. For example, to run the DeepSeek-R1:8b model and interact with it, use the following command: 1ollama run deepseek-r1:8b If the model isn’t already installed, Ollama will automatically download it. Once the download is complete, you can interact with the model directly in the terminal: 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950C:\Users\Administrator>ollama run...
Installing Ollama
Ollama supports multiple operating systems, including macOS, Windows, Linux, and Docker containers. It has modest hardware requirements, making it easy for users to run, manage, and interact with large language models locally. Hardware and Software Requirements CPU: A multi-core processor (4 cores or more recommended). GPU: If you plan to run large models or perform fine-tuning, a GPU with high computational power (e.g., NVIDIA with CUDA support) is recommended. RAM: At least 8GB of...
Introduction to Ollama
Ollama is an open-source platform for large language models (LLMs), designed to make it easy for users to run, manage, and interact with LLMs directly on their local machines. It provides a straightforward way to load and use various pre-trained language models, supporting a wide range of natural language processing tasks such as text generation, translation, code writing, and question answering. What sets Ollama apart is its combination of ready-to-use models and tools with...
Ollama Tutorial
Ollama is an open-source framework designed to make it easy to deploy and run large language models (LLMs) directly on your local machine. It supports multiple operating systems, including macOS, Windows, Linux, and even Docker containers. One of its standout features is model quantization, which significantly reduces GPU memory requirements, making it possible to run large models on everyday home computers. Who Is This Tutorial For?Ollama is ideal for developers, researchers, and users...
JSON Formatter
...
Solution for VMware Virtual Machine Folder Sharing Not Working
After installing VMware Tools, if you’re unable to mount shared folders using vmhgfs-fuse, you can try this temporary workaround. Solution for VMware virtual machine folder sharing not working (/mnt/hgfs/ shared folder not found): Disable folder sharing in VMware. Restart the virtual machine. Re-enable folder sharing in VMware. Access /mnt/hgfs/ to see the shared folder.
A Complete Guide to Base64 Encoding and Decoding
Base64 encoding is a crucial technique in modern software development, used to convert binary data into a text format that can be safely transmitted across systems. This comprehensive guide will cover everything you need to know about Base64, from basic concepts to practical implementations. What is Base64?Base64 is an encoding scheme that converts binary data into an ASCII string format. It represents binary data using a set of 64 characters that are universally available across different...
How to Install OpenJDK 17 on Ubuntu 24.0.4
This guide walks you through the step-by-step process, ensuring you get OpenJDK 17 up and running on your system in no time. Step 1: Update Package ListsBefore starting the installation process, it’s always a good practice to update your system’s package list. This ensures that you’re installing the latest version available in the repositories. Open your terminal and run the following command: 1sudo apt update This command will refresh the list of available packages and their versions,...
Install OpenJDK 17 LTS on Ubuntu 24.04|22.04|20.04|18.04
Download OpenJDK 17. To install OpenJDK 17, visit OpenJDK 17 release page and get the latest version available for your CPU architecture,1wget https://download.java.net/java/GA/jdk17.0.2/dfd4a8d0985749f896bed50d7138ee7f/8/GPL/openjdk-17.0.2_linux-x64_bin.tar.gz Extract downloaded archive.1tar xvf openjdk-17.0.2_linux-x64_bin.tar.gz Move the folder created after extraction.1sudo mv jdk-17.0.2/ /usr/local/ Set environment variables inside /etc/profile.d/ directory.123$ sudo vi...
Install OpenJDK 21 LTS on Ubuntu 24.04|22.04|20.04|18.04
JDK 21 is a long-term support (LTS) release from most vendors. OpenJDK (Open Java Development Kit) is an open-source implementation of the Java Platform, Standard Edition (Java SE) licensed under the GNU General Public License, which provides a complete runtime environment for executing Java applications and a development environment for building Java applications. OpenJDK is governed by the OpenJDK Community, and its development is led by Oracle, with contributions from various companies...
What is pagefile.sys in Windows, and should it be deleted?
When your Windows computer is running low on storage, you might start looking for ways to free up some space. One of the less conventional methods you may come across is deleting the pagefile.sys file. However, before you consider deleting it, it’s important to understand what pagefile.sys is and whether you should delete it in the first place. Here’s a quick rundown of what you can adjust about pagefile.sys. What is pagefile.sys?pagefile.sys is a system file in Windows that acts as virtual...
ASCII Code 127
In the 7-bit ASCII character set, ASCII code 127 is represented by the control character ␡ also known as the delete. Character Representation Value/Description ASCII Character ␡ Decimal 127 Octal 177 Hexadecimal 7F Binary 0111 1111 Description Delete Category Printable Characters Subcategory Control character Unicode U+007F
ASCII Code 126
In the 7-bit ASCII character set, ASCII code 126 is represented by the character ~ also known as the equivalency sign - tilde. Character Representation Value/Description ASCII Character ~ Decimal 126 Octal 176 Hexadecimal 7E Binary 0111 1110 Description Equivalency sign - tilde Category Printable Characters Subcategory Punctuation and Symbols Unicode U+007E EncodingEncoding non-standard letters and characters into values that can be displayed e.g. in...
ASCII Code 125
In the 7-bit ASCII character set, ASCII code 125 is represented by the character } also known as the closing brace. Character Representation Value/Description ASCII Character } Decimal 125 Octal 175 Hexadecimal 7D Binary 0111 1101 Description Closing brace Category Printable Characters Subcategory Punctuation and Symbols Unicode U+007D EncodingEncoding non-standard letters and characters into values that can be displayed e.g. in browsers Encoding...