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
- llama.cpp
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 # Run inference directly in the terminal: llama cli -hf anyalkonsafe/evilguy4
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf anyalkonsafe/evilguy4 # Run inference directly in the terminal: llama cli -hf anyalkonsafe/evilguy4
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 # Run inference directly in the terminal: ./llama-cli -hf anyalkonsafe/evilguy4
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 # Run inference directly in the terminal: ./build/bin/llama-cli -hf anyalkonsafe/evilguy4
Use Docker
docker model run hf.co/anyalkonsafe/evilguy4
- 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
- Ollama
How to use anyalkonsafe/evilguy4 with Ollama:
ollama run hf.co/anyalkonsafe/evilguy4
- Unsloth Desktop
- Docker Model Runner
How to use anyalkonsafe/evilguy4 with Docker Model Runner:
docker model run hf.co/anyalkonsafe/evilguy4
- Lemonade
How to use anyalkonsafe/evilguy4 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull anyalkonsafe/evilguy4
Run and chat with the model
lemonade run user.evilguy4-{{QUANT_TAG}}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.
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Hardware compatibility
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We're not able to determine the quantization 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