Instructions to use CyberSociety/HummanAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use CyberSociety/HummanAI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("CyberSociety/HummanAI", set_active=True) - llama-cpp-python
How to use CyberSociety/HummanAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="CyberSociety/HummanAI", filename="Model_Bahasa_Ram 2.gguf", )
llm.create_chat_completion( messages = "\"I like you. I love you\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use CyberSociety/HummanAI with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf CyberSociety/HummanAI # Run inference directly in the terminal: llama-cli -hf CyberSociety/HummanAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf CyberSociety/HummanAI # Run inference directly in the terminal: llama-cli -hf CyberSociety/HummanAI
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 CyberSociety/HummanAI # Run inference directly in the terminal: ./llama-cli -hf CyberSociety/HummanAI
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 CyberSociety/HummanAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf CyberSociety/HummanAI
Use Docker
docker model run hf.co/CyberSociety/HummanAI
- LM Studio
- Jan
- Ollama
How to use CyberSociety/HummanAI with Ollama:
ollama run hf.co/CyberSociety/HummanAI
- Unsloth Studio new
How to use CyberSociety/HummanAI 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 CyberSociety/HummanAI 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 CyberSociety/HummanAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for CyberSociety/HummanAI to start chatting
- Pi new
How to use CyberSociety/HummanAI with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf CyberSociety/HummanAI
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "CyberSociety/HummanAI" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use CyberSociety/HummanAI with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf CyberSociety/HummanAI
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default CyberSociety/HummanAI
Run Hermes
hermes
- Docker Model Runner
How to use CyberSociety/HummanAI with Docker Model Runner:
docker model run hf.co/CyberSociety/HummanAI
- Lemonade
How to use CyberSociety/HummanAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CyberSociety/HummanAI
Run and chat with the model
lemonade run user.HummanAI-{{QUANT_TAG}}List all available models
lemonade list
Update README.md
Browse files
README.md
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- Cyber
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- Scurity
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---
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## π οΈ Panduan Troubleshooting (Pemecahan Masalah)
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Jika Anda menemui kendala saat menjalankan **HackCat AI Chat**, silakan cek solusi di bawah ini:
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- Cyber
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- Scurity
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---
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Berikut adalah draf untuk file `README.md` yang disesuaikan dengan kode Python Anda. Saya telah menyusunnya agar terlihat profesional, mudah dibaca, dan informatif bagi siapa saja yang ingin menjalankan program Anda.
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---
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# π±βπ» HackCat AI Chat
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HackCat AI Chat adalah aplikasi chatbot berbasis Command Line Interface (CLI) yang berjalan menggunakan model bahasa lokal (Large Language Model) berekstensi `.gguf`. Proyek ini menggunakan pustaka `gpt4all` dan dirancang untuk berjalan **sepenuhnya secara offline** tanpa memerlukan koneksi internet.
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## β¨ Fitur Utama
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* **100% Offline:** Menjaga privasi data Anda karena pemrosesan dilakukan sepenuhnya di perangkat lokal.
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* **Streaming Responses:** Jawaban dari AI ditampilkan kata demi kata secara *real-time*, memberikan pengalaman obrolan yang natural.
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* **Sesi Interaktif:** Mengingat konteks percakapan selama sesi berjalan.
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---
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## π οΈ Persyaratan Sistem (Prerequisites)
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Sebelum menjalankan aplikasi ini, pastikan sistem Anda telah memenuhi persyaratan berikut:
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1. **Python** versi 3.8 atau lebih baru.
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2. Pustaka Python **GPT4All**.
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3. File model GGUF bernama `Model_Bahasa_Ram 2.gguf`.
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---
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## π Cara Instalasi & Persiapan
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**1. Install Library GPT4All**
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Buka terminal/command prompt Anda dan jalankan perintah berikut:
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```bash
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pip install gpt4all
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```
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**2. Persiapkan File Model**
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Karena aplikasi ini disetel untuk tidak mengunduh model secara otomatis (`allow_download=False`), Anda harus menyediakan file modelnya secara manual:
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* Unduh atau siapkan file model `Model_Bahasa_Ram 2.gguf`.
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* Buat folder bernama `model` di direktori yang sama dengan file script Python Anda.
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* Pindahkan file `.gguf` tersebut ke dalam folder `model`.
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**3. Struktur Direktori**
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Pastikan struktur folder Anda terlihat seperti ini:
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```text
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π¦ Proyek_HackCat/
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β£ π model/
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β β π Model_Bahasa_Ram 2.gguf
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β π main.py (File script Python Anda)
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```
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---
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## π» Cara Menjalankan Aplikasi
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1. Buka terminal/command prompt.
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2. Arahkan ke direktori proyek Anda.
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3. Jalankan script Python:
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```bash
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python main.py
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```
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*(Ganti `main.py` dengan nama file Python Anda yang sebenarnya).*
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Setelah berjalan, Anda akan melihat tampilan seperti ini di terminal:
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```text
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=== HackCat AI Chat ===
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(Ketik 'exit' untuk berhenti)
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Kamu: Halo, apa kabar?
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AI: Halo! Kabar saya baik. Ada yang bisa saya bantu hari ini?
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```
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Ketik **`exit`** kapan saja untuk menghentikan program dan keluar dari sesi obrolan.
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---
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## βοΈ Penjelasan Kode Singkat
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* `model_path="./model/"`: Menentukan lokasi di mana program akan mencari file model.
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* `allow_download=False`: Memaksa program untuk hanya menggunakan model yang sudah ada secara lokal. Jika file tidak ditemukan, program akan memunculkan *error* alih-alih mencoba mengunduhnya dari internet.
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* `streaming=True`: Memungkinkan teks dicetak ke layar sedikit demi sedikit (efek mengetik) alih-alih menunggu seluruh kalimat selesai dibuat oleh AI.
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---
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## π οΈ Panduan Troubleshooting (Pemecahan Masalah)
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Jika Anda menemui kendala saat menjalankan **HackCat AI Chat**, silakan cek solusi di bawah ini:
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