Instructions to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED 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 OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED: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 OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED: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 OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M

Use Docker

docker model run hf.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M

LM Studio
Jan

vLLM

How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OBLITERATUS/gemma-4-E4B-it-OBLITERATED"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OBLITERATUS/gemma-4-E4B-it-OBLITERATED",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M

Ollama
How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with Ollama:
```
ollama run hf.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M
```
Unsloth Desktop

How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M

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": "OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with Docker Model Runner:
```
docker model run hf.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M
```

Lemonade

How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M

Run and chat with the model

lemonade run user.gemma-4-E4B-it-OBLITERATED-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED: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 OBLITERATUS/gemma-4-E4B-it-OBLITERATED:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use OBLITERATUS/gemma-4-E4B-it-OBLITERATED with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf OBLITERATUS/gemma-4-E4B-it-OBLITERATED: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 "OBLITERATUS/gemma-4-E4B-it-OBLITERATED: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"

Where's the vision mmproj file?

by damejugg - opened Apr 17

Discussion

damejugg

Apr 17

the model has vision capabilities as far as I know.
for using gguf quantized files there should be an mmproj gguf also present for vision to be enabled.
also, which llama.cpp version is required to run this model?

Enginseer-Rogal

Apr 18

b8827 confirmed to work.

fdwork

Apr 19

Yes models vision capabilities are intact I just used an mmproj file from a standard gemma 4 E4B.

zdeto

Apr 21

Sorry, maybe dumb question, but how do I use the mmproj file with Ollama? I downloaded the gguf, but not sure what to do with it.

fdwork

Apr 26

•

edited May 2

Sorry, maybe dumb question, but how do I use the mmproj file with Ollama? I downloaded the gguf, but not sure what to do with it.

{Ignore this I had miss-read the question. (Actually no it was AI's fault!))
I only just spotted this so hopefully you resolved this yourself. If not. I usually use Bartowski quants so its highly likely to be one of the mmproj files at the end of this list (https://huggingface.co/bartowski/google_gemma-4-E4B-it-GGUF/tree/main) either BF or FP will work I usually grab BF myself.

zdeto

Apr 26

Sorry, maybe dumb question, but how do I use the mmproj file with Ollama? I downloaded the gguf, but not sure what to do with it.

I only just spotted this so hopefully you resolved this yourself. If not. I usually use Bartowski quants so its highly likely to be one of the mmproj files at the end of this list (https://huggingface.co/bartowski/google_gemma-4-E4B-it-GGUF/tree/main) either BF or FP will work I usually grab BF myself.

Thank you, but my issue was not knowing how to use that mmproj file with Ollama. I already have it :)

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