Instructions to use Cenedril/UNASoldier1BQ4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Cenedril/UNASoldier1BQ4-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="Cenedril/UNASoldier1BQ4-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Cenedril/UNASoldier1BQ4-GGUF", dtype="auto")

llama-cpp-python

How to use Cenedril/UNASoldier1BQ4-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Cenedril/UNASoldier1BQ4-GGUF",
	filename="UNASoldier1BQ4.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Cenedril/UNASoldier1BQ4-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Cenedril/UNASoldier1BQ4-GGUF
# Run inference directly in the terminal:
llama-cli -hf Cenedril/UNASoldier1BQ4-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Cenedril/UNASoldier1BQ4-GGUF
# Run inference directly in the terminal:
llama-cli -hf Cenedril/UNASoldier1BQ4-GGUF

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 Cenedril/UNASoldier1BQ4-GGUF
# Run inference directly in the terminal:
./llama-cli -hf Cenedril/UNASoldier1BQ4-GGUF

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 Cenedril/UNASoldier1BQ4-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Cenedril/UNASoldier1BQ4-GGUF

Use Docker

docker model run hf.co/Cenedril/UNASoldier1BQ4-GGUF

LM Studio
Jan

vLLM

How to use Cenedril/UNASoldier1BQ4-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Cenedril/UNASoldier1BQ4-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Cenedril/UNASoldier1BQ4-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Cenedril/UNASoldier1BQ4-GGUF

SGLang

How to use Cenedril/UNASoldier1BQ4-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Cenedril/UNASoldier1BQ4-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Cenedril/UNASoldier1BQ4-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Cenedril/UNASoldier1BQ4-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Cenedril/UNASoldier1BQ4-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Ollama
How to use Cenedril/UNASoldier1BQ4-GGUF with Ollama:
```
ollama run hf.co/Cenedril/UNASoldier1BQ4-GGUF
```

Unsloth Studio new

How to use Cenedril/UNASoldier1BQ4-GGUF 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 Cenedril/UNASoldier1BQ4-GGUF 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 Cenedril/UNASoldier1BQ4-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Cenedril/UNASoldier1BQ4-GGUF to start chatting

Pi new

How to use Cenedril/UNASoldier1BQ4-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Cenedril/UNASoldier1BQ4-GGUF

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": "Cenedril/UNASoldier1BQ4-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Cenedril/UNASoldier1BQ4-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Cenedril/UNASoldier1BQ4-GGUF

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 Cenedril/UNASoldier1BQ4-GGUF

Run Hermes

hermes

Docker Model Runner
How to use Cenedril/UNASoldier1BQ4-GGUF with Docker Model Runner:
```
docker model run hf.co/Cenedril/UNASoldier1BQ4-GGUF
```

Lemonade

How to use Cenedril/UNASoldier1BQ4-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Cenedril/UNASoldier1BQ4-GGUF

Run and chat with the model

lemonade run user.UNASoldier1BQ4-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

!-Caution -AGI testing- Caution-!
UNCENSORED

!!//This is an experimental Multi platform and high functioning field assistant model, Use with code assist and S-AGI at your own risk.//!!!

Cenedril/SoldierUNA1bQ4-GGUF

This model was converted to GGUF format from Qwen/Qwen3.5-0.8B using llama.cpp

Built to fulfil the orchestration role on an android device as a piece in the first functional AGI, Use Wisely. Good Luck and Don't DIE!

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

Downloads last month: 394

GGUF

Model size

0.8B params

Architecture

qwen35

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Model tree for Cenedril/UNASoldier1BQ4-GGUF

Base model

Qwen/Qwen3.5-0.8B-Base

Finetuned

Qwen/Qwen3.5-0.8B

Quantized

(124)

this model

!-Caution -AGI testing- Caution-! UNCENSORED

Cenedril/SoldierUNA1bQ4-GGUF

Built to fulfil the orchestration role on an android device as a piece in the first functional AGI, Use Wisely. Good Luck and Don't DIE!

Use with llama.cpp

Model tree for Cenedril/UNASoldier1BQ4-GGUF

!-Caution -AGI testing- Caution-!
UNCENSORED