데브허브 | DEVHUB | Google Gemma 3 Beats DeepSeek V3: 100% FREE and Local!
Gemma 3: Most Capable Model You Can Run on a Single GPU or TPU
🔥 *INTRODUCING THE REVOLUTIONARY GEMMA 3* 🔥
Run the most powerful AI model locally with just a single GPU or TPU!
Code: https://mer.vin/2025/03/gemma-3-creat...
🚀 KEY FEATURES:
Outperforms Llama 4's 5 billion parameter model & DeepSeek v3.03 mini in human preference evaluation
Supports 140 languages out-of-box with deep support for 35 languages
Analyzes images, text & short videos
128,000 token context window
Function calling capability
Creates high-performance agents even with quantized (compressed) models
📊 IMPRESSIVE PERFORMANCE:
Only 27 billion parameters vs. DeepSeek v3's 671 billion parameters
Ranks in top 10 on LM Arena's leaderboard
Above Qwen 2.5 Max, just behind 01
Available in 4 versions: 27B, 12B, 4B, and 1B parameter models
💯 COMPLETELY FREE:
Open weights model - run locally on your computer
Full privacy - works without internet connection
Memory efficient
🛠️ HOW TO GET STARTED:
```
pip install ollama
pip install chainlit
ollama pull gemma3
```
🔗 EASY INTEGRATION:
Build your own applications with just a few lines of code:
Create chatbots with Chainlit UI
Develop AI agents using Prism Agents
Add internet search capabilities
Generate LinkedIn posts, tweets, and more automatically
📝 MULTIMODAL CAPABILITIES:
Available in Hugging Face and Google AI Studio via API
Can identify objects in images and analyze receipts
📚 LEARN MORE:
Check out my other video on creating 100% local RAG (AI agent) based on your custom data!
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💬 Comment below with your thoughts on Gemma 3!
#AI #MachineLearning #Gemma3 #AImodel #LocalAI #OpenSource #AIAgents
Timestamps:
0:00 - Introduction to Gemma 3
0:22 - Key features and capabilities
0:57 - Running Gemma 3 locally for free
1:26 - LMC's Arena rankings
2:23 - Installing and running locally
3:17 - Building a chatbot interface
4:24 - Creating AI agents with PraisonAI
5:11 - Adding internet search functionality
