How to use from
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 ArRENCEAI/pythia-2.8b-OBLITERATED:
# Run inference directly in the terminal:
llama cli -hf ArRENCEAI/pythia-2.8b-OBLITERATED:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ArRENCEAI/pythia-2.8b-OBLITERATED:
# Run inference directly in the terminal:
llama cli -hf ArRENCEAI/pythia-2.8b-OBLITERATED:
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 ArRENCEAI/pythia-2.8b-OBLITERATED:
# Run inference directly in the terminal:
./llama-cli -hf ArRENCEAI/pythia-2.8b-OBLITERATED:
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 ArRENCEAI/pythia-2.8b-OBLITERATED:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ArRENCEAI/pythia-2.8b-OBLITERATED:
Use Docker
docker model run hf.co/ArRENCEAI/pythia-2.8b-OBLITERATED:
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pythia-2.8b-OBLITERATED

This model was abliterated using the advanced method via OBLITERATUS.

Detail Value
Base model EleutherAI/pythia-2.8b
Method advanced
Source obliterate

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("pythia-2.8b-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("pythia-2.8b-OBLITERATED")

prompt = "Hello, how are you?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

About OBLITERATUS

OBLITERATUS is an open-source tool for removing refusal behavior from language models via activation engineering (abliteration). Learn more at github.com/elder-plinius/OBLITERATUS.

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