Instructions to use anyalkonsafe/evilguy4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use anyalkonsafe/evilguy4 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 anyalkonsafe/evilguy4:F16
# Run inference directly in the terminal:
llama cli -hf anyalkonsafe/evilguy4:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf anyalkonsafe/evilguy4:F16
# Run inference directly in the terminal:
llama cli -hf anyalkonsafe/evilguy4:F16

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 anyalkonsafe/evilguy4:F16
# Run inference directly in the terminal:
./llama-cli -hf anyalkonsafe/evilguy4:F16

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 anyalkonsafe/evilguy4:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf anyalkonsafe/evilguy4:F16

Use Docker

docker model run hf.co/anyalkonsafe/evilguy4:F16

LM Studio
Jan

vLLM

How to use anyalkonsafe/evilguy4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "anyalkonsafe/evilguy4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "anyalkonsafe/evilguy4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/anyalkonsafe/evilguy4:F16

Ollama
How to use anyalkonsafe/evilguy4 with Ollama:
```
ollama run hf.co/anyalkonsafe/evilguy4:F16
```
Unsloth Desktop
Docker Model Runner
How to use anyalkonsafe/evilguy4 with Docker Model Runner:
```
docker model run hf.co/anyalkonsafe/evilguy4:F16
```

Lemonade

How to use anyalkonsafe/evilguy4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull anyalkonsafe/evilguy4:F16

Run and chat with the model

lemonade run user.evilguy4-F16

List all available models

lemonade list

Atomic Chat

evilguy4

The newest evilguy. Now based off Gemma4 E4B.

Changes

Better at math
Trained to handle more slang/substitutions/typos (hllo, ello, or complete gibberish)
Fixed a bunch of weird hallucinations

Recommended sampling: temperature 1.0, top_p 0.95, top_k 64.

Usage

llama-server -m evilguy4-q4-k-m.gguf --jinja

Run the llama.cpp server with --jinja so the embedded chat template (and tool calling) is used.

Downloads last month: 336

GGUF

Model size

8B params

Architecture

gemma4

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Model tree for anyalkonsafe/evilguy4

Base model

google/gemma-4-E4B

Finetuned

google/gemma-4-E4B-it

Quantized

unsloth/gemma-4-E4B-it-unsloth-bnb-4bit

Adapter

(24)

this model