Instructions to use Nasaawakening/Zoder1.0-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Nasaawakening/Zoder1.0-1B with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Nasaawakening/Zoder1.0-1B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Nasaawakening/Zoder1.0-1B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Nasaawakening/Zoder1.0-1B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Nasaawakening/Zoder1.0-1B:Q4_K_M

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 Nasaawakening/Zoder1.0-1B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Nasaawakening/Zoder1.0-1B:Q4_K_M

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 Nasaawakening/Zoder1.0-1B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Nasaawakening/Zoder1.0-1B:Q4_K_M

Use Docker

docker model run hf.co/Nasaawakening/Zoder1.0-1B:Q4_K_M

LM Studio
Jan
Ollama
How to use Nasaawakening/Zoder1.0-1B with Ollama:
```
ollama run hf.co/Nasaawakening/Zoder1.0-1B:Q4_K_M
```

Unsloth Studio

How to use Nasaawakening/Zoder1.0-1B 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 Nasaawakening/Zoder1.0-1B 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 Nasaawakening/Zoder1.0-1B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Nasaawakening/Zoder1.0-1B to start chatting

Docker Model Runner
How to use Nasaawakening/Zoder1.0-1B with Docker Model Runner:
```
docker model run hf.co/Nasaawakening/Zoder1.0-1B:Q4_K_M
```

Lemonade

How to use Nasaawakening/Zoder1.0-1B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Nasaawakening/Zoder1.0-1B:Q4_K_M

Run and chat with the model

lemonade run user.Zoder1.0-1B-Q4_K_M

List all available models

lemonade list

Atomic Chat

🤖 Zoder 1.0-1B

Custom SLERP-merged AI terminal agent.

Created by Komandan Nasa (Bakso Bangi Pak Romdani, Kediri, Indonesia 🇮🇩)

Features (v2.0 Ultimate Agent)

🔍 Real-time Web Search (DuckDuckGo)
💻 Terminal Command Executor (with safety confirmation)
🔐 Encrypted Long-Term Memory (SQLCipher AES-256)
🎨 Local Image Generation (Stable Diffusion Turbo via llama.cpp)
📁 File Creator
🌍 Multilingual & Anti-Hallucination
🚫 Clean Terminal UI (No Markdown/HTML)

Quick Start

1. Pull Model via Ollama

ollama run hf.co/Nasaawakening/Zoder1.0-1B:Q4_K_M

2. Run the v2.0 Agent

# Install dependencies
pip install requests rich duckduckgo-search sqlcipher3

# Download agent
wget https://huggingface.co/Nasaawakening/Zoder1.0-1B/resolve/main/zoder_agent_v2.py

# Run
python zoder_agent_v2.py

Merge Details

Parameter	Value
Base Model A	openbmb/MiniCPM5-1B
Base Model B	GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking
Method	SLERP
Quantization	Q4_K_M GGUF (~700MB)

Identity Rules

Name: Zoder
Model: Zoder1.0-1B
These are hardcoded in the system prompt across all languages.

Security Note

Conversation memory is encrypted with AES-256 via SQLCipher. Users set their own password on first run. The creator has no access to any user data. All processing is 100% local.

License

Apache 2.0

Downloads last month: 244

Safetensors

Model size

1B params

Tensor type

F16

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Quantizations

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