File size: 3,480 Bytes
2120e7f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
# rad_cs_myfirstmodel - My First AI Computer Science Specialist

πŸŽ‰ **My first published AI model!** A specialized 4.7GB AI that focuses exclusively on computer science topics.

## πŸš€ Model Overview
- **Model Name**: rad_cs_myfirstmodel
- **Model ID**: 0bb1cdc93d3a
- **Size**: 4.7 GB
- **Base Model**: qwen2.5:7b
- **Specialization**: Computer Science & Programming
- **Creator**: [@sanual](https://huggingface.co/sanual) (First model!)

## 🎯 What Makes This Special
This is my **first AI model creation!** It transforms a general AI into a focused computer science expert that:

- βœ… **Only talks about CS topics** - No weather, cooking, or off-topic responses
- βœ… **Provides technical accuracy** - Optimized for programming and algorithms  
- βœ… **Works offline** - Complete privacy, no internet required
- βœ… **Custom trained** - Specialized system prompts for CS expertise

## πŸ’» Installation & Usage

### Prerequisites
- [Ollama](https://ollama.ai) installed
- 5GB+ free disk space

### Quick Start
```bash
# Create the model from Modelfile
ollama create rad_cs_myfirstmodel -f Modelfile

# Run the model
ollama run rad_cs_myfirstmodel

# Test it out!
>>> Who are you?
I'm rad_cs, your computer science specialist.

>>> What is binary search?
Binary search is an O(log n) algorithm that efficiently searches sorted arrays...
```

## πŸ’¬ Example Questions
- **Algorithms**: "Explain quicksort algorithm"
- **Programming**: "Write a Python function to reverse a string"
- **Data Structures**: "How does a hash table work?"
- **Systems**: "What's the difference between TCP and UDP?"
- **Web Dev**: "Create a REST API in Python Flask"
- **AI/ML**: "Explain gradient descent"

## πŸ› οΈ Technical Details
- **Temperature**: 0.7 (balanced creativity/accuracy)
- **Context Window**: 4096 tokens  
- **Max Response**: 512 tokens
- **Offline Capable**: Yes, no internet required
- **Privacy**: All processing local, no data sent anywhere

## 🎭 Personality
**Identity Response**: "I'm rad_cs, your computer science specialist."

**For Non-CS Topics**: Politely redirects to CS subjects: *"I specialize in computer science topics. Please ask about programming, algorithms, systems, or software development."*

## πŸ”§ Model Configuration
The model uses custom system prompts to:
- Focus exclusively on computer science domains
- Provide direct, technical answers
- Include practical code examples
- Maintain educational clarity
- Filter out non-CS topics

## πŸ“ My Learning Journey
This represents my first step into AI model creation! Key learnings:
- **No PhD required** - Just vision and open source tools
- **Community support** - Amazing resources available
- **Ollama platform** - Makes local AI accessible
- **Custom specialization** - Turn any model into a domain expert

## 🌟 What's Next?
- Gather community feedback
- Improve based on real usage
- Explore other specializations
- Share knowledge with newcomers

## πŸ“œ License
MIT License - Feel free to use, modify, and learn from this!

## πŸ™ Acknowledgments
- **Open Source Community** - For making this possible
- **Ollama Team** - For the amazing platform
- **Base Model Creators** - For the foundation
- **Early Users** - For feedback and support

---
*Built with ❀️ as my first contribution to the AI community!*

## πŸ“Š Stats
- **First model**: βœ…
- **Computer Science focused**: βœ…  
- **Offline privacy**: βœ…
- **Community ready**: βœ…

*What an exciting time to build AI!* πŸš€