Hello Users,
Here is the complete hardware recommendation for Windows users, along with a step-by-step installation guide.
🧩 Jan AI Hardware Recommendations (Windows)
| Usage Type | Processor | RAM | Storage | GPU
| ————- - | —————— | —— | ———– | ——————————–
| 🟢 Basic User | Intel i3 / Ryzen 3 | 8 GB | 30 GB SSD | Integrated
| 🔵 Recommended | Intel i5 / Ryzen 5 | 16 GB | 50 GB SSD | NVIDIA GTX 1660+
| 🟣 Power User | Intel i7 / Ryzen 7 | 32 GB+ | 100+ GB SSD | NVIDIA RTX 3060+ (CUDA)
💡 Tip: More RAM = smoother multitasking & faster processing.
🛠️ Step-by-Step Installation Guide for Jan AI on Windows
📥 Step 1: Download Jan AI
🔗 Visit the official Jan AI GitHub or trusted release page
🔽 Download the latest Windows-compatible installer or ZIP package
🧰 Step 2: Install Dependencies
Make sure your system has the following:
✅ Python 3.10+
✅ .NET Runtime
✅ Optional: Git (for developers)
⚠️ Some Jan AI versions may ship with a portable runtime — always check the README.md file in the download.
🗂️ Step 3: Extract or Install
If it’s a .zip → Extract the contents to a folder
If it’s a .exe installer → Run it and follow the prompts
⚙️ Step 4: Choose a Model
Choose a compatible language model:
🔹 Light: TinyLLM, GPT-Neo
🔸 Medium: Mistral, Falcon
🔥 Advanced: LLaMA, Mixtral, etc. (Requires GPU + more RAM)
Models may be provided as .bin or .gguf files — place them in the designated models folder.
🚀 Step 5: Launch Jan AI
Double-click jan.exe or run the Python server:
python jan.py
✅ Step 6: Test & Enjoy!
Try chatting, writing, and running AI tasks — offline, private, and fast!
Customize themes, prompts, or upgrade your model later.
🎯 Need Help?
Join the B4ALLB4U Community Support Thread for:
🛠️ Troubleshooting
💬 Model Recommendations
⚡ Optimization Tips
🌐 Offline Workflow Setups
