Instructions to use CyberSociety/HummanAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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 Settings

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

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

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

RuyX commited on Feb 21

Commit

7fa69c2

verified ·

1 Parent(s): 4bf8618

Upload 2 files

Browse files

## 💻 Cara Menjalankan Aplikasi

1. Buka terminal/command prompt.
2. Arahkan ke direktori proyek Anda.
3. Jalankan script Python:

```bash
python main.py

```

*(Ganti `main.py` dengan nama file Python Anda yang sebenarnya).*

Setelah berjalan, Anda akan melihat tampilan seperti ini di terminal:

```text
=== HackCat AI Chat ===
(Ketik 'exit' untuk berhenti)

Kamu: Halo, apa kabar?
AI: Halo! Kabar saya baik. Ada yang bisa saya bantu hari ini?

```

Ketik **`exit`** kapan saja untuk menghentikan program dan keluar dari sesi obrolan.

---

## ⚙️ Penjelasan Kode Singkat

* `model_path="./model/"`: Menentukan lokasi di mana program akan mencari file model.
* `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.
* `streaming=True`: Memungkinkan teks dicetak ke layar sedikit demi sedikit (efek mengetik) alih-alih menunggu seluruh kalimat selesai dibuat oleh AI.

---

Files changed (3) hide show

.gitattributes +1 -0
Model_Bahasa_Ram 2.gguf +3 -0
main.py +17 -0

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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Model_Bahasa_Ram[[:space:]]2.gguf filter=lfs diff=lfs merge=lfs -text

Model_Bahasa_Ram 2.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6a1a2eb6d15622bf3c96857206351ba97e1af16c30d7a74ee38970e434e9407e
+size 1117320736

main.py ADDED Viewed

	@@ -0,0 +1,17 @@

+from gpt4all import GPT4All
+model = GPT4All(
+    model_name="Model_Bahasa_Ram 2.gguf",
+    model_path="./model/",
+    allow_download=False
+)
+print("=== HackCat AI Chat ===")
+print("(Ketik 'exit' untuk berhenti)\n")
+with model.chat_session():
+    while True:
+        pesan = input("Kamu: ")
+        if pesan.lower() == 'exit':
+            break
+        print("AI: ", end="", flush=True)
+        for teks in model.generate(pesan, max_tokens=500, streaming=True):
+            print(teks, end="", flush=True)
+        print()