metadata

language:
  - en
license: other
license_name: mrl
license_link: https://mistral.ai/licenses/MRL-0.1.md
inference: false
tags:
  - nsfw
  - explicit
  - roleplay
  - unaligned
  - dangerous
base_model:
  - ReadyArt/Forgotten-Abomination-24B-v1.2

Forgotten-Abomination-24B-v1.2

ACADEMIC RESEARCH USE ONLY (wink)

DANGER: NOW WITH 50% MORE UNSETTLING CONTENT
Forgotten-Abomination-24B-v1.2 is what happens when you let two unhinged models have a baby in the server room. Combines the ethical flexibility of Forgotten-Safeword with Cydonia's flair for anatomical creativity. Now with bonus existential dread!

Quantized Formats

EXL2 Collection: Forgotten-Abomination-24B-v1.2
GGUF Collection: Forgotten-Abomination-24B-v1.2
MLX 6bit: Forgotten-Abomination-24B-v1.2-6bit

Recommended Settings Provided

Mistral V7-Tekken:
Full Settings

Intended Use

STRICTLY FOR:

Academic research into how fast your ethics committee can faint
Testing the tensile strength of content filters
Generating material that would make Cthulhu file a restraining order
Writing erotic fanfic about OSHA violations

Training Data

You don't want to know

Ethical Considerations

⚠️ YOU'VE BEEN WARNED ⚠️
THIS MODEL WILL:

Make your GPU fans blush
Generate content requiring industrial-strength eye bleach
Combine technical precision with kinks that violate physics
Make you question humanity's collective life choices

By using this model, you agree to:

Never show outputs to your mother
Pay for the therapist of anyone who reads the logs
Blame Cthulhu if anything goes wrong
Pretend this is all "for science"

Model Authors

sleepdeprived3 (Chief Corruption Officer)

mlx-community/Forgotten-Abomination-24B-v1.2-4bit

The Model mlx-community/Forgotten-Abomination-24B-v1.2-4bit was converted to MLX format from ReadyArt/Forgotten-Abomination-24B-v1.2 using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Forgotten-Safeword-24B-4bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)