https://github.com/unicodeveloper/oss-aimodels
A database of open source AI models for non-technical and technical users
https://github.com/unicodeveloper/oss-aimodels
ai ai-database ai-database-tools ai-models models opensource-ai-models opensource-models oss-ai-models
Last synced: 5 months ago
JSON representation
A database of open source AI models for non-technical and technical users
- Host: GitHub
- URL: https://github.com/unicodeveloper/oss-aimodels
- Owner: unicodeveloper
- Created: 2025-07-29T14:03:12.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-07-29T15:52:24.000Z (5 months ago)
- Last Synced: 2025-07-29T18:04:56.570Z (5 months ago)
- Topics: ai, ai-database, ai-database-tools, ai-models, models, opensource-ai-models, opensource-models, oss-ai-models
- Language: JavaScript
- Homepage: https://aimodels.up.railway.app
- Size: 62.5 KB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🤖 Open Source AI Models Database & API
A comprehensive database of 50+ popular open source AI models with a powerful REST API and beautiful web interface.
## ✨ Features
- **🗄️ Comprehensive Database**: 50+ AI models across language, vision, audio, multimodal, and embedding categories
- **🔍 Advanced Filtering**: Search by category, provider, capabilities, modalities, and more
- **📊 Rich Metadata**: Technical specs, pricing, use cases, and compatibility information
- **🌐 REST API**: Full-featured API with filtering, pagination, and search
- **⚡ Vercel AI SDK Integration**: Ready-to-use endpoints for AI applications
- **📱 Responsive UI**: Beautiful web interface that works on all devices
- **🚀 Zero Setup**: Deploy to Railway with one click
## 🚀 Quick Start
### Local Development
1. **Clone the repository**
```bash
git clone git@github.com:unicodeveloper/oss-aimodels.git
cd oss-aimodels
```
2. **Install dependencies**
```bash
npm install
```
3. **Start the development server**
```bash
npm run dev
```
4. **Access the application**
- Web Interface: http://localhost:3000
- API: http://localhost:3000/api
- API Health: http://localhost:3000/api/health
### Production Deployment
#### Deploy to Railway (Recommended)
```bash
# Install Railway CLI
npm i -g @railway/cli
# Initialize your project
railway init
# Deploy
railway up
```
#### Deploy with Docker
```bash
# Build the image
docker build -t oss-ai-models .
# Run the container
docker run -p 3000:3000 oss-ai-models
```
## 📖 API Usage
### Base URL
```
https://aimodels.up.railway.app/api
```
### Get All Models
```bash
curl "https://aimodels.up.railway.app/api/models"
```
### Filter Models
```bash
# Get language models from Google
curl "https://aimodels.up.railway.app/api/models?category=language&provider=Google"
# Search for image generation models
curl "https://aimodels.up.railway.app/api/models?search=image&outputModality=Image"
# Get models with tool calling support
curl "https://aimodels.up.railway.app/api/models?toolCalling=Yes&limit=10"
```
### Get Specific Model
```bash
curl "https://aimodels.up.railway.app/api/models/Alpaca"
```
### Get Statistics
```bash
curl "https://aimodels.up.railway.app/api/stats"
```
## 🔧 Integration Examples
### JavaScript/Node.js
```javascript
// Fetch all language models
const response = await fetch('https://aimodels.up.railway.app/api/models?category=language');
const { data } = await response.json();
// Search for specific capabilities
const codingModels = await fetch('https://aimodels.up.railway.app/api/models?search=coding&toolCalling=Yes');
const results = await codingModels.json();
```
### Python
```python
import requests
# Get vision models
response = requests.get('https://aimodels.up.railway.app/api/models', params={
'category': 'vision',
'provider': 'Meta',
'limit': 5
})
models = response.json()['data']
```
### Vercel AI SDK
```typescript
// Use with Vercel AI SDK for model discovery
async function findBestModel(requirements: string) {
const response = await fetch('https://aimodels.up.railway.app/api/models', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
query: requirements,
filters: { toolCalling: 'Yes' },
limit: 5
})
});
const { models } = await response.json();
return models[0]; // Return the best match
}
```
## 🏗️ Project Structure
```
├── data/
│ └── models.js # Models database
├── server.js # Express.js API server
├── index.html # Frontend interface
├── styles.css # Styling
├── script.js # Frontend JavaScript
├── package.json # Dependencies
├── API.md # Full API documentation
└── README.md # This file
```
## 📊 Database Schema
Each model includes:
```typescript
interface AIModel {
name: string;
author: string;
provider: string;
category: 'language' | 'vision' | 'audio' | 'multimodal' | 'embedding';
description: string;
plainDescription: string;
useCases: string[];
inputModalities: string[];
outputModalities: string[];
technicalSpecs: {
parameters: string;
memoryRequired: string;
hardwareRequirement: string;
inferenceSpeed: string;
formats: string[];
toolCalling: 'Yes' | 'No' | 'Limited';
reasoning: 'Strong' | 'Good' | 'Basic' | 'None';
inputCost: string;
outputCost: string;
};
license: string;
downloads: string;
stars: string;
date: string;
tags: string[];
githubUrl: string;
huggingtfaceUrl: string;
}
```
## 🌟 Featured Models
### Language Models
- **LLaMA 2** - Meta's powerful conversational AI
- **GPT-J** - EleutherAI's open alternative to GPT-3
- **T5** - Google's versatile text-to-text transformer
- **Falcon** - Technology Innovation Institute's efficient LLM
### Vision Models
- **Stable Diffusion XL** - High-quality text-to-image generation
- **YOLOv8** - Real-time object detection
- **SAM** - Segment anything model
- **Vision Transformer (ViT)** - Revolutionary image classification
### Audio Models
- **Whisper** - OpenAI's speech recognition
- **MusicGen** - Meta's music generation
- **Bark** - Suno AI's creative text-to-audio
### Multimodal Models
- **CLIP** - OpenAI's vision-language model
- **LLaVA** - Large language and vision assistant
- **BLIP-2** - Salesforce's advanced multimodal AI
## 🔍 Search & Filter Options
- **Categories**: language, vision, audio, multimodal, embedding
- **Providers**: Google, Meta, OpenAI, Microsoft, Hugging Face, and 20+ more
- **Capabilities**: Tool calling, reasoning levels, modalities
- **Technical**: Parameters, memory requirements, inference speed
- **Licensing**: MIT, Apache-2.0, GPL-3.0, Custom
- **Free Text Search**: Names, descriptions, tags, use cases
## 🛠️ API Features
- **RESTful Design**: Clean, predictable endpoints
- **Advanced Filtering**: Multiple filter combinations
- **Pagination**: Efficient data loading
- **Search**: Full-text search across all fields
- **Sorting**: Multiple sort options
- **Rate Limiting**: 1000 requests per 15 minutes
- **CORS Enabled**: Works with browser applications
- **Error Handling**: Comprehensive error responses
- **Statistics**: Database insights and metrics
## 📈 Performance
- **Response Time**: < 100ms for most queries
- **Database Size**: 50 models, ~2MB total
- **Caching**: Intelligent caching for optimal performance
- **CDN Ready**: Optimized for global distribution
## 🤝 Contributing
Contributions are welcome! Here's how you can help:
1. **Add Models**: Submit new open source AI models
2. **Improve Data**: Enhance model descriptions and metadata
3. **Fix Bugs**: Report and fix issues
4. **Documentation**: Improve guides and examples
## 📝 License
MIT License - feel free to use this in your own projects!
## 🔗 Links
- **API Documentation**: [API.md](./API.md)
- **Live Demo**: https://aimodels.up.railway.app
- **API Health**: https://aimodels.up.railway.app/api/health
- **Statistics**: https://aimodels.up.railway.app/api/stats
## 📧 Support
- **Issues**: GitHub Issues
- **API Status**: Check `/api/health` endpoint
- **Rate Limits**: Monitor response headers
---
Vibe Coded & Built with ❤️ for the open source AI community