Instructions to use wayzer2321/Luna-v1-9B-GGUF-Archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use wayzer2321/Luna-v1-9B-GGUF-Archive 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 wayzer2321/Luna-v1-9B-GGUF-Archive
# Run inference directly in the terminal:
llama cli -hf wayzer2321/Luna-v1-9B-GGUF-Archive

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf wayzer2321/Luna-v1-9B-GGUF-Archive
# Run inference directly in the terminal:
llama cli -hf wayzer2321/Luna-v1-9B-GGUF-Archive

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 wayzer2321/Luna-v1-9B-GGUF-Archive
# Run inference directly in the terminal:
./llama-cli -hf wayzer2321/Luna-v1-9B-GGUF-Archive

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 wayzer2321/Luna-v1-9B-GGUF-Archive
# Run inference directly in the terminal:
./build/bin/llama-cli -hf wayzer2321/Luna-v1-9B-GGUF-Archive

Use Docker

docker model run hf.co/wayzer2321/Luna-v1-9B-GGUF-Archive

Llama new
LM Studio
Jan

vLLM

How to use wayzer2321/Luna-v1-9B-GGUF-Archive with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wayzer2321/Luna-v1-9B-GGUF-Archive"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wayzer2321/Luna-v1-9B-GGUF-Archive",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/wayzer2321/Luna-v1-9B-GGUF-Archive

Ollama
How to use wayzer2321/Luna-v1-9B-GGUF-Archive with Ollama:
```
ollama run hf.co/wayzer2321/Luna-v1-9B-GGUF-Archive
```
Unsloth Desktop

How to use wayzer2321/Luna-v1-9B-GGUF-Archive with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf wayzer2321/Luna-v1-9B-GGUF-Archive

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "wayzer2321/Luna-v1-9B-GGUF-Archive"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use wayzer2321/Luna-v1-9B-GGUF-Archive with Docker Model Runner:
```
docker model run hf.co/wayzer2321/Luna-v1-9B-GGUF-Archive
```

Lemonade

How to use wayzer2321/Luna-v1-9B-GGUF-Archive with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull wayzer2321/Luna-v1-9B-GGUF-Archive

Run and chat with the model

lemonade run user.Luna-v1-9B-GGUF-Archive-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use wayzer2321/Luna-v1-9B-GGUF-Archive with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf wayzer2321/Luna-v1-9B-GGUF-Archive

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 wayzer2321/Luna-v1-9B-GGUF-Archive

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use wayzer2321/Luna-v1-9B-GGUF-Archive with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf wayzer2321/Luna-v1-9B-GGUF-Archive

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "wayzer2321/Luna-v1-9B-GGUF-Archive" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Luna 3.5 9B GGUF — archived edition / прошлая версия

ARCHIVED / ПРОШЛАЯ ВЕРСИЯ. This repository preserves an older Luna release. Актуальная версия / Current release: Luna v2 · 9B GGUF. Все релизы / Release catalog: luna-all-versions.

Release status

This is the previous Luna v1 9B checkpoint. Luna v2 is a different fine-tune, not another quantization of this model.

Этот репозиторий оставлен для старых загрузок и сравнения версий. Для знакомства с актуальной Луной используйте Luna v2, ссылка выше. Название базовой модели и число параметров не обозначают порядок релизов Луны.

Archived model details

Property	Value
Status	Archived / previous release
Checkpoint	Luna v1 · 9B
Base model	Qwen/Qwen3.5-9B
File	`luna3.5-9b-q4.gguf`
Quantization	Q4_K_M
Format	GGUF

Luna is Wayzer's conversational character: informal slang, sarcasm, surreal humor, and creator lore. Responses from this archived checkpoint are not representative of the current Luna v2 release.

Historical sampling settings

These are the settings previously published for this archived model:

Temperature: 0.75–0.88
Repeat penalty: 1.08–1.10
Top-p: 0.92
Context length: 2048

Memory use and generation speed depend on hardware, context, and backend.

Local import (Ollama)

For this archived file only:

FROM ./luna3.5-9b-q4.gguf

Save the line above in Modelfile next to the GGUF, then run:

ollama create luna-v1-archive -f Modelfile
ollama run luna-v1-archive

Historical dialogue archive

Earlier dialogue examples and release catalog. These examples are historical and are not a benchmark of Luna v2.

Downloads last month: 1,331

GGUF

Model size

9B params

Architecture

qwen35

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Model tree for wayzer2321/Luna-v1-9B-GGUF-Archive

Base model

Qwen/Qwen3.5-9B-Base

Finetuned

Qwen/Qwen3.5-9B

Quantized

(629)

this model