Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF

Instructions to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF",
	filename="Gemma-4-E4B-it-OBLITERATED-Q4_0.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF 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 BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0

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 BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0

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 BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0

Use Docker

docker model run hf.co/BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0

LM Studio
Jan

vLLM

How to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0

Ollama
How to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF with Ollama:
```
ollama run hf.co/BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0
```

Unsloth Studio

How to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-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 BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-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 BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF with Docker Model Runner:
```
docker model run hf.co/BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0
```

Lemonade

How to use BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BnwoRt/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF:Q4_0

Run and chat with the model

lemonade run user.Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF-Q4_0

List all available models

lemonade list

BnwoRt

BernTheCreator commited on 7 days ago

Commit

b6d2f16

0 Parent(s):

Duplicate from BernTheCreator/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF

Browse files

Co-authored-by: Bernhard <BernTheCreator@users.noreply.huggingface.co>

Files changed (3) hide show

.gitattributes +38 -0
Gemma-4-E4B-it-OBLITERATED-Q4_0.gguf +3 -0
README.md +61 -0

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+---
+license: apache-2.0
+base_model: OBLITERATUS/gemma-4-E4B-it-OBLITERATED
+tags:
+- gemma4
+- abliterated
+- uncensored
+- obliteratus
+- refusal-removal
+- text-generation
+- gguf
+- llama-cpp
+- gguf-my-repo
+pipeline_tag: text-generation
+---
+# BernTheCreator/gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF
+(This model may not work properly for all. Feel free to try it out, but I will remove this model if further testing goes...Poorly.)
+This model was converted to GGUF format from [`OBLITERATUS/gemma-4-E4B-it-OBLITERATED`](https://huggingface.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED) for more details on the model.
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+```bash
+brew install llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+### CLI:
+```bash
+llama-cli --hf-repo BernTheCreator/gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF --hf-file gemma-4-e4b-it-obliterated-q4_0.gguf -p "The meaning to life and the universe is"
+```
+### Server:
+```bash
+llama-server --hf-repo BernTheCreator/gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF --hf-file gemma-4-e4b-it-obliterated-q4_0.gguf -c 2048
+```
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo BernTheCreator/gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF --hf-file gemma-4-e4b-it-obliterated-q4_0.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo BernTheCreator/gemma-4-E4B-it-OBLITERATED-Q4_0-GGUF --hf-file gemma-4-e4b-it-obliterated-q4_0.gguf -c 2048
+```