Instructions to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with Transformers:

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

pipe = pipeline("image-text-to-text", model="prithivMLmods/ultragemma4-e4b-heretic-uncensored")
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("prithivMLmods/ultragemma4-e4b-heretic-uncensored", device_map="auto")

llama-cpp-python

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="prithivMLmods/ultragemma4-e4b-heretic-uncensored",
	filename="ultragemma4-e4b-heretic-uncensored.BF16.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 Settings

llama.cpp

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored 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 prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored: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 prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored: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 prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

Use Docker

docker model run hf.co/prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

LM Studio
Jan

vLLM

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/ultragemma4-e4b-heretic-uncensored"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/ultragemma4-e4b-heretic-uncensored",
		"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/prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

SGLang

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored 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 "prithivMLmods/ultragemma4-e4b-heretic-uncensored" \
    --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": "prithivMLmods/ultragemma4-e4b-heretic-uncensored",
		"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 "prithivMLmods/ultragemma4-e4b-heretic-uncensored" \
        --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": "prithivMLmods/ultragemma4-e4b-heretic-uncensored",
		"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 prithivMLmods/ultragemma4-e4b-heretic-uncensored with Ollama:
```
ollama run hf.co/prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M
```

Unsloth Studio

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored 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 prithivMLmods/ultragemma4-e4b-heretic-uncensored 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 prithivMLmods/ultragemma4-e4b-heretic-uncensored to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for prithivMLmods/ultragemma4-e4b-heretic-uncensored to start chatting

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

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": "prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

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 prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

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 "prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M" \
  --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"

Docker Model Runner
How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M
```

Lemonade

How to use prithivMLmods/ultragemma4-e4b-heretic-uncensored with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prithivMLmods/ultragemma4-e4b-heretic-uncensored:Q4_K_M

Run and chat with the model

lemonade run user.ultragemma4-e4b-heretic-uncensored-Q4_K_M

List all available models

lemonade list

prithivMLmods commited on Jun 26

Commit

2d5dcb4

verified ·

1 Parent(s): b89d19f

Update README.md

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README.md +38 -0

README.md CHANGED Viewed

@@ -75,6 +75,44 @@ library_name: transformers
  | ultragemma4-e4b-heretic-uncensored.mmproj-f16.gguf | mmproj-f16 | 992 MB | [Download](https://huggingface.co/prithivMLmods/ultragemma4-e4b-heretic-uncensored/blob/main/ultragemma4-e4b-heretic-uncensored.mmproj-f16.gguf) |
  | ultragemma4-e4b-heretic-uncensored.mmproj-q8_0.gguf | mmproj-q8_0 | 560 MB | [Download](https://huggingface.co/prithivMLmods/ultragemma4-e4b-heretic-uncensored/blob/main/ultragemma4-e4b-heretic-uncensored.mmproj-q8_0.gguf) |
 ## **Intended Use**
 * **Alignment Research**: Studying refusal-direction analysis and behavior modification techniques.

  | ultragemma4-e4b-heretic-uncensored.mmproj-f16.gguf | mmproj-f16 | 992 MB | [Download](https://huggingface.co/prithivMLmods/ultragemma4-e4b-heretic-uncensored/blob/main/ultragemma4-e4b-heretic-uncensored.mmproj-f16.gguf) |
  | ultragemma4-e4b-heretic-uncensored.mmproj-q8_0.gguf | mmproj-q8_0 | 560 MB | [Download](https://huggingface.co/prithivMLmods/ultragemma4-e4b-heretic-uncensored/blob/main/ultragemma4-e4b-heretic-uncensored.mmproj-q8_0.gguf) |
+## **Quick Start with llama.cpp (Docker)**
+```dockerfile
+FROM ghcr.io/ggml-org/llama.cpp:full
+WORKDIR /app
+RUN apt update && apt install -y python3-pip
+RUN pip install -U huggingface_hub --break-system-packages
+RUN python3 -c 'from huggingface_hub import hf_hub_download; \
+    repo="prithivMLmods/ultragemma4-e4b-heretic-uncensored"; \
+    hf_hub_download(repo_id=repo, filename="ultragemma4-e4b-heretic-uncensored.Q4_K_M.gguf", local_dir="/app"); \
+    hf_hub_download(repo_id=repo, filename="ultragemma4-e4b-heretic-uncensored.mmproj-bf16.gguf", local_dir="/app")'
+CMD ["--server", \
+     "-m", "/app/ultragemma4-e4b-heretic-uncensored.Q4_K_M.gguf", \
+     "--mmproj", "/app/ultragemma4-e4b-heretic-uncensored.mmproj-bf16.gguf", \
+     "--host", "0.0.0.0", \
+     "--port", "7860", \
+     "-t", "2", \
+     "--cache-type-k", "q8_0", \
+     "--cache-type-v", "iq4_nl", \
+     "-c", "128000", \
+     "-n", "38912"]
+```
+---
+> e.g. Screenshots
+![Screenshot 2026-06-26 115358](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/SXgtTk9tkRXY1i9TYVnJ_.png)
+![Screenshot 2026-06-26 115413](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/fO-0APJ6PS2L1Aqhe8uBa.png)
+---
 ## **Intended Use**
 * **Alignment Research**: Studying refusal-direction analysis and behavior modification techniques.