Services
Technology Web App Development Mobile App Development Windows App Development Database Development UI/UX Development Cloud Development SEO Digital Marketing Guest Posting Content Writing Artificial Intelligence Data Science ERP Development CRM Development CMS Development LMS Development Business Listing Blockchain Technology Startup Promotion
Products
Data Converter Cleaner TUC - Unit Converter Import Export Survey Manager Tweet Controller
Developer
Article Blog Forum Interview Beginner News Startup Quiz
Users
Career
Apply Job Internship
Pricing
Login Sign Up Get a Quote

interview

home / developersection / interviews / how to use ollama in my system?
Ask Question
Ravi Vishwakarma
Ravi Vishwakarma

IT-Hardware & Networking

Ravi Vishwakarma is a dedicated Software Developer with a passion for crafting efficient and innovative solutions. With a keen eye for detail and years of experience, he excels in developing robust software systems that meet client needs. His expertise spans across multiple programming languages and technologies, making him a valuable asset in any software development project.

Message

1 Answers

Ravi Vishwakarma
Ravi Vishwakarma 16 May 2026
Report Abuse

To use Ollama on your system, follow these quick steps:

1. Install Ollama

Download from:

Ollama Official Website

Available for:

  • Windows
  • macOS
  • Linux

After installation, verify:

ollama --version

2. Pull a Model

Example:

ollama pull llama3

Other popular models:

  • mistral
  • codellama
  • phi
  • gemma

3. Run a Model

ollama run llama3

Now you can chat locally in terminal.

Example:

>>> Explain microservices

4. Use via API

Ollama automatically starts a local API server.

Default URL:

http://localhost:11434

Example API call:

curl http://localhost:11434/api/generate -d '{
  "model": "llama3",
  "prompt": "What is ASP.NET Core?"
}'

5. Use in C#

Example with HttpClient:

var client = new HttpClient();

var json = """
{
  "model": "llama3",
  "prompt": "Explain SQL indexing"
}
""";

var content = new StringContent(
    json,
    Encoding.UTF8,
    "application/json");

var response = await client.PostAsync(
    "http://localhost:11434/api/generate",
    content);

var result = await response.Content.ReadAsStringAsync();

Console.WriteLine(result);

6. List Installed Models

ollama list

7. Remove a Model

ollama rm llama3

Popular Usage

Developers commonly use Ollama for:

  • Local AI chatbots
  • Code assistants
  • RAG applications
  • Document summarization
  • Offline AI apps

AI APIs in ASP.NET Core/Python/Node.js

Recommended Models

Use Case Model
General Chat llama3
Coding codellama
Lightweight phi
Fast Responses mistral

Minimum System Recommendation

Component Recommended
RAM 16GB+
GPU Optional but helpful
OS Windows/Linux/macOS

Runs on CPU too, but GPU is much faster.

advertising