Pickle vs SafeTensors vs GGUF – Secure & Efficient Model Saving Explained
In this video, we break down the most common model-saving formats— pickle (.pt/.pth) , safetensors , and GGUF —and show you exactly when and why to use each one.
This video is based on my Medium article:
👉 Read the full article here for detailed explanations & code recipes:
/ model-saving-formats-101-pickle-vs-safeten...
🔍 Topics covered:
• What does “saving a model” actually include? (weights, architecture, tokenizer, optimizer state, graphs)
• Pickle (PyTorch .pt/.pth) – flexible but risky outside your trust boundary
• SafeTensors (.safetensors) – secure, fast, memory-mappable, ideal for public sharing and production
• GGUF – optimized for llama.cpp inference with quantization (Q4, Q5, Q8)
• When to choose ONNX for cross-platform serving
If you're an ML engineer or developer looking to deploy models securely and efficiently—this one's for you! 👍
🔗 More Resources:
Medium Article → / model-saving-formats-101-pickle-vs-safeten...
#MachineLearning #MLOps #ModelDeployment #SafeTensors #GGUF #pytorch#GenAI#India