Repository
termux-llm
Run uncensored AI models locally on your Android phone. One-script setup via Termux + llama.cpp. No root, no cloud, no internet needed.
- Model
- Size
- RAM
- Recommended Model Size
- 3-4 GB
- Up to 1B models
- 4-6 GB
- Up to 2B models
Specs
- ModelSize
- RAMRecommended Model Size
- 3-4 GBUp to 1B models
- 4-6 GBUp to 2B models
- 6-8 GBUp to 3B models
- 8+ GBUp to 8B models
- IssueFix
- pkg update failsRun termux-change-repo and pick a mirror
- Model download 401 errorModel is "gated" — download it in your browser instead
- Phone gets very hotUse a smaller model or reduce threads: edit start-ai.sh and change -t 4 to -t 2
- Out of memory crashClose all other apps, use a smaller model
- Server won't startMake sure no other app is using port 8080
README
🤖 termux-llm
Run uncensored AI models locally on your Android phone. One-script setup via Termux + llama.cpp. No root, no cloud, no internet needed after setup.
📺 Watch the Tutorial
⚡ How It Works
📱 Browser (127.0.0.1:8080) ← You chat here
↕
🌐 llama-server (HTTP API) ← Serves chat UI + OpenAI API
↕
🧠 llama.cpp (C++ Engine) ← Runs the AI on your CPU
↕
📦 GGUF Model File ← The AI's brain
↕
🐧 Termux (Linux on Android) ← Real Linux environment
Everything runs 100% on-device. Your conversations never leave your phone.
🚀 Quick Start
1. Install Termux
Download Termux from F-Droid (recommended) or the Play Store.
2. Download a Model
Download any .gguf model file and place it in your phone's storage:
/sdcard/AI_Models/
Create the AI_Models folder if it doesn't exist. The script will auto-detect all .gguf files in this folder.
3. Run the Installer
Open Termux and paste:
curl -fsSL https://raw.githubusercontent.com/orailnoor/termux-llm/main/install.sh -o ~/install.sh && bash ~/install.sh
Or if you downloaded the script manually:
cp /sdcard/install.sh ~ && bash ~/install.sh
4. Start Your AI
After setup completes, start the server anytime with:
bash ~/start-ai.sh
Then open your browser and go to: http://127.0.0.1:8080
📦 Recommended Models
If no models are found in /sdcard/AI_Models/, the script offers these ungated downloads:
| Model | Size | Type | Best For |
|---|---|---|---|
| Gemma-2-2B-Abliterated | 1.6 GB | 🔓 Abliterated | Permanently uncensored, very smart |
| SmolLM2-1.7B-Uncensored | 1.0 GB | 🔓 Uncensored | Ultra lightweight |
| Qwen2.5-1.5B-Instruct | 1.1 GB | 🔒 Standard | Great multilingual support |
| Phi-3.5-Mini-3.8B | 2.2 GB | 🔒 Standard | Strong reasoning |
💡 Tip: Search bartowski on HuggingFace for more models. Always choose Q4_K_M quantization for the best balance of quality and speed on phones.
🔓 Uncensored vs Abliterated
- Uncensored (fine-tuned): Trained to not refuse, but may revert after long conversations.
- Abliterated: Refusal neurons surgically removed from the model weights. Cannot censor, ever. This is the recommended type.
📱 Supported Devices
| RAM | Recommended Model Size |
|---|---|
| 3-4 GB | Up to 1B models |
| 4-6 GB | Up to 2B models |
| 6-8 GB | Up to 3B models |
| 8+ GB | Up to 8B models |
Performance: Expect ~2-10 tokens/second depending on your processor and model size.
🔁 Switching Models
- Download a new
.ggufmodel - Place it in
/sdcard/AI_Models/ - Re-run the installer:
bash ~/install.sh - Select the new model from the list
The engine won't recompile — it only downloads/copies the new model.
🔧 Connecting External Apps
The server exposes an OpenAI-compatible API at:
http://127.0.0.1:8080/v1
You can connect apps like SillyTavern, Open WebUI, or any OpenAI-compatible client by pointing them to this URL.
🐞 Troubleshooting
| Issue | Fix |
|---|---|
pkg update fails |
Run termux-change-repo and pick a mirror |
| Model download 401 error | Model is "gated" — download it in your browser instead |
| Phone gets very hot | Use a smaller model or reduce threads: edit start-ai.sh and change -t 4 to -t 2 |
| Out of memory crash | Close all other apps, use a smaller model |
| Server won't start | Make sure no other app is using port 8080 |
📜 License
MIT License — See LICENSE for details.
If you found this useful, consider subscribing to orailnoor on YouTube!
