Text Generation
GGUF
English
GGUF
conversational
krish-mind
ai-assistant
llama.cpp
ollama
mobile-ready
on-device
Instructions to use Krishkanth/krish-mind-mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Krishkanth/krish-mind-mobile with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Krishkanth/krish-mind-mobile", filename="krish-mind-mobile.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Krishkanth/krish-mind-mobile with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Krishkanth/krish-mind-mobile # Run inference directly in the terminal: llama-cli -hf Krishkanth/krish-mind-mobile
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Krishkanth/krish-mind-mobile # Run inference directly in the terminal: llama-cli -hf Krishkanth/krish-mind-mobile
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Krishkanth/krish-mind-mobile # Run inference directly in the terminal: ./llama-cli -hf Krishkanth/krish-mind-mobile
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Krishkanth/krish-mind-mobile # Run inference directly in the terminal: ./build/bin/llama-cli -hf Krishkanth/krish-mind-mobile
Use Docker
docker model run hf.co/Krishkanth/krish-mind-mobile
- LM Studio
- Jan
- vLLM
How to use Krishkanth/krish-mind-mobile with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Krishkanth/krish-mind-mobile" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Krishkanth/krish-mind-mobile", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Krishkanth/krish-mind-mobile
- Ollama
How to use Krishkanth/krish-mind-mobile with Ollama:
ollama run hf.co/Krishkanth/krish-mind-mobile
- Unsloth Studio new
How to use Krishkanth/krish-mind-mobile with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Krishkanth/krish-mind-mobile to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Krishkanth/krish-mind-mobile to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Krishkanth/krish-mind-mobile to start chatting
- Docker Model Runner
How to use Krishkanth/krish-mind-mobile with Docker Model Runner:
docker model run hf.co/Krishkanth/krish-mind-mobile
- Lemonade
How to use Krishkanth/krish-mind-mobile with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Krishkanth/krish-mind-mobile
Run and chat with the model
lemonade run user.krish-mind-mobile-{{QUANT_TAG}}List all available models
lemonade list
Upload README.md with huggingface_hub
Browse files
README.md
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- ai-assistant
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- llama.cpp
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- ollama
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language:
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- en
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pipeline_tag: text-generation
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<div align="center">
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-
**β¨ Krish Mind is an elite independent AI assistant developed by Krish CS. β¨**
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*π§ Designed to be intelligent, helpful, and blazing fast!*
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://github.com/ggerganov/llama.cpp)
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://github.com/ggerganov/llama.cpp)
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[]()
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[]()
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</div>
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---
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## π What is Krish Mind Mobile?
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**Krish Mind** is a state-of-the-art independent AI assistant developed by **Krish CS**. Krish Mind has its own unique identity, personality, and knowledge base. It is designed to be genuinely helpful, conversational, and easy to use for everyone.
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**Krish Mind Mobile** is the ultra-compact edition engineered specifically to run **completely offline on smartphones**. It fits in under **2 GB**, making it the perfect AI companion in your pocket! π¦Ύ
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### π Why Krish Mind Mobile?
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- π± **Under 2 GB** β fits on almost any modern smartphone without a worry
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- π΅ **Fully Offline** β works even in airplane mode, no internet needed
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- π° **Completely Free** β no subscriptions, no hidden costs, ever
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- π **100% Private** β your conversations never leave your device
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- β‘ **Blazing Fast** β optimized to respond instantly even on older phones
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---
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## ποΈ The Complete Krish Mind Family
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Choose the version that matches your hardware!
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| π·οΈ Version | π¦ Size | πΎ RAM | π± Mobile Support | β¬οΈ Action |
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|---|---|---|---|---|
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| π± **Mobile (This Repo)** | ~2 GB | 3-4 GB | β
Full Support | [π₯ Download Mobile](https://huggingface.co/Krishkanth/krish-mind-mobile/resolve/main/krish-mind-mobile.gguf) |
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| β‘ **Q4 Balanced** | ~5 GB | 8-16 GB | β Desktop Only | [π Visit Repository](https://huggingface.co/Krishkanth/krish-mind-gguf-Q4) |
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| π **Full Quality** | ~16 GB | 32+ GB | β Desktop Only | [π Visit Repository](https://huggingface.co/Krishkanth/krish-mind-gguf-standalone-16) |
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---
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## π Files in This Repository
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| π File | π¦ Size | π Download |
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|---|---|---|
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| `krish-mind-mobile.gguf` | ~1.96 GB | [π₯ Download Now](https://huggingface.co/Krishkanth/krish-mind-mobile/resolve/main/krish-mind-mobile.gguf) |
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| `krish-mind-full.gguf` | ~7.60 GB | [π₯ Download](https://huggingface.co/Krishkanth/krish-mind-mobile/resolve/main/krish-mind-full.gguf) |
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---
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## π€³ Running Krish Mind on Your Smartphone (Android & iOS)
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This is where Krish Mind Mobile truly shines! Below are all the apps that support running GGUF models offline on your phone.
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---
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### π€ Android β Step by Step
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#### β
Option A: PocketPal AI (Most Recommended!)
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PocketPal AI is the best Android app for running GGUF models. It has a built-in Hugging Face browser so you can find and download Krish Mind directly inside the app!
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**Step 1:** Open the Google Play Store and search for **PocketPal AI**. Install it.
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**Step 2:** Open the app. Tap the **Models** tab at the bottom.
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**Step 3:** Tap **Add Model** and then tap **Search Hugging Face**.
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**Step 4:** Type `Krishkanth/krish-mind-mobile` in the search bar and press search.
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**Step 5:** Tap **Download** next to `krish-mind-mobile.gguf` (~2 GB). Wait for the download to complete.
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**Step 6:** Tap the **Chat** tab. Select `krish-mind-mobile` from the model list and start chatting!
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> π‘ You can now disable your Wi-Fi and the model will keep working perfectly offline!
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---
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#### β
Option B: SmolChat
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SmolChat is a lightweight open-source Android app for running small AI models in GGUF format.
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**Step 1:** Download `krish-mind-mobile.gguf` from the link above to your phone's storage.
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**Step 2:** Install SmolChat from the Google Play Store or from GitHub.
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**Step 3:** Open the app and tap the **+** (plus) button to add a model.
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**Step 4:** Tap **Import from Storage** and navigate to your downloaded GGUF file.
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**Step 5:** Set the **Prompt Template** to `ChatML` or `Default`. Tap **Load Model**.
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**Step 6:** Start chatting! The model works completely offline.
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---
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#### β
Option C: LLM Hub
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LLM Hub is an all-in-one Android AI assistant supporting text generation, image generation, and translation entirely offline.
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**Step 1:** Download `krish-mind-mobile.gguf` to your phone.
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**Step 2:** Install LLM Hub from the Google Play Store.
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**Step 3:** Open the app and go to **Models** section.
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**Step 4:** Tap **Import Local Model** and select your downloaded GGUF file.
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**Step 5:** Tap **Load** and the model will be ready. Open the chat and start talking!
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---
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#### β
Option D: Off Grid (Open Source Power App)
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Off Grid is a powerful open-source Android app for fully offline AI.
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**Step 1:** Install Off Grid from the Play Store or download the APK from GitHub.
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**Step 2:** Download `krish-mind-mobile.gguf` to your device.
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**Step 3:** Open Off Grid and navigate to the **Language Model** section.
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**Step 4:** Tap **Import GGUF** and select your file from storage.
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**Step 5:** Once loaded, open the chat interface and begin your conversation!
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---
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### π iPhone & iPad β Step by Step
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#### β
Option A: PocketPal AI (Most Recommended for iOS!)
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PocketPal AI is available on the Apple App Store and is the most seamless iOS experience.
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**Step 1:** Open the App Store and search for **PocketPal AI**. Install it.
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**Step 2:** Open the app and go to the **Models** tab.
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**Step 3:** Tap **Add Model** and search for `Krishkanth/krish-mind-mobile`.
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**Step 4:** Download `krish-mind-mobile.gguf` directly inside the app. Wait for the download to complete.
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**Step 5:** Go to **Chat**, select the model from the dropdown, and start chatting!
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---
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#### β
Option B: LLMFarm
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LLMFarm is one of the most well-established iOS apps for running GGUF models.
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**Step 1:** Install **LLMFarm** from the Apple App Store.
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**Step 2:** On your iPhone, open **Safari** and download `krish-mind-mobile.gguf` from the download link above. When prompted, choose **Download** (not Open).
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**Step 3:** Go to the **Files** app on your iPhone. Find `krish-mind-mobile.gguf` in your Downloads folder.
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**Step 4:** Tap and hold the file, then tap **Share** and choose **LLMFarm** from the share sheet to import it.
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**Step 5:** Open LLMFarm and tap the **+** button. Select your imported model file.
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**Step 6:** Set the model type to **Auto** or **ChatML**. Tap **Load** and begin chatting!
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---
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#### β
Option C: ChatterUI
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ChatterUI is a modern and clean iOS app for running local AI models.
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**Step 1:** Install **ChatterUI** from the App Store.
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**Step 2:** Download `krish-mind-mobile.gguf` via Safari and save it to your Files app.
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**Step 3:** Open ChatterUI and tap **Model Settings** in the top right corner.
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**Step 4:** Tap **Import Model** and select the GGUF file from your Files app.
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**Step 5:** Tap **Load Model** and open the chat to start talking!
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---
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## π» Running Krish Mind on Your Laptop
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### π’ Option 1 β Ollama (Recommended for Beginners!)
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Ollama is a free, open-source tool for running AI models locally. Works on Windows, Mac, and Linux!
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**Step 1: Install Ollama**
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Download and install Ollama from: https://ollama.ai/download
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Run the installer. No configuration needed.
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**Step 2: Download the Model**
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Download `krish-mind-mobile.gguf` from the link above. Save it to a convenient folder, for example:
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- Windows: `C:\Users\YourName\krish-mind\`
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- Mac/Linux: `~/krish-mind/`
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**Step 3: Create a Modelfile**
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Inside the same folder as your GGUF file, create a new plain text file named exactly `Modelfile` (no extension). Open it and paste this single line:
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```
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FROM ./krish-mind-mobile.gguf
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```
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Save and close the file.
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**Step 4: Import into Ollama**
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Open your terminal (or Command Prompt on Windows). Navigate to the folder where your Modelfile is:
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```bash
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cd C:\Users\YourName\krish-mind
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```
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Then run this command to register the model with Ollama:
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```bash
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ollama create krish-mind -f Modelfile
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```
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Wait for it to complete. This step only needs to be done once.
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**Step 5: Start Chatting!**
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```bash
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ollama run krish-mind
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```
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Krish Mind is now loaded and ready. Type your message and press Enter!
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**Useful Ollama Commands:**
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```bash
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ollama list # Show all installed models
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ollama run krish-mind # Start a chat session
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ollama rm krish-mind # Remove the model
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```
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---
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### π¨ Option 2 β LM Studio (Visual Desktop App, Zero Commands!)
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LM Studio gives you a beautiful chat interface just like ChatGPT, running entirely locally.
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**Step 1:** Download LM Studio from https://lmstudio.ai and install it.
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**Step 2:** Download `krish-mind-mobile.gguf` to your computer.
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**Step 3:** Open LM Studio. Click the folder icon on the left sidebar that says **My Models**.
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**Step 4:** Click **Add Model** and drag your downloaded GGUF file into the window, or click **Browse** to find it.
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**Step 5:** Go to the **AI Chat** tab (speech bubble icon on the left). At the top centre of the screen, click the model selector dropdown and choose `krish-mind-mobile`.
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**Step 6:** Start typing your message and press Enter. Krish Mind will respond!
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---
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### π οΈ Option 3 β Python (For Developers)
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Install llama-cpp-python:
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```bash
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pip install llama-cpp-python
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```
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Run Krish Mind in your Python code:
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```python
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from llama_cpp import Llama
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llm = Llama(
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model_path="./krish-mind-mobile.gguf",
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n_ctx=4096,
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n_threads=4,
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)
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response = llm.create_chat_completion(
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messages=[{"role": "user", "content": "Hello! Who are you?"}]
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)
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print(response["choices"][0]["message"]["content"])
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```
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---
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## π οΈ System Requirements
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### Smartphone Requirements
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| π± Platform | π₯ Minimum | π₯ Recommended |
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|---|---|---|
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| **Android** | 4 GB RAM, Android 10 | 8 GB RAM, Snapdragon 8 Gen 1+ |
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| **iPhone** | iPhone 12+ | iPhone 14 Pro or newer |
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### Laptop/Desktop Requirements
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| π» Platform | π₯ Minimum | π₯ Recommended |
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|---|---|---|
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| **Windows** | 4 GB Free RAM, Any modern CPU | 8 GB RAM, Intel i5/AMD Ryzen 5 |
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| **Mac** | 4 GB Free RAM, Apple M1 | Apple M2 or newer |
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| **Linux** | 4 GB Free RAM | 8 GB RAM |
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**Storage Space Required:** 2.5 GB free
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---
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## β Frequently Asked Questions
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**Q: Does it really work without internet?**
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A: Yes! After the first download, Krish Mind runs 100% offline. You can even enable Airplane Mode.
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**Q: My phone only has 4 GB RAM. Will it work?**
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A: Yes. The Mobile version is specifically designed for devices with 4 GB of RAM. It will work on most modern mid-range smartphones.
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**Q: Is it free forever?**
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A: Yes. It is released under Apache 2.0. Free for personal and commercial use.
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---
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<div align="center">
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**β¨ Happy Chatting with Krish Mind Mobile! β¨**
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*Made with β€οΈ by Krish CS*
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</div>
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