Triangle104/Forgotten-Abomination-24B-v1.2-Q8_0-GGUF

This model was converted to GGUF format from ReadyArt/Forgotten-Abomination-24B-v1.2 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.


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!

Recommended Settings

Mistral V7-Tekken

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

Model Authors

sleepdeprived3 (Chief Corruption Officer)


Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Forgotten-Abomination-24B-v1.2-Q8_0-GGUF --hf-file forgotten-abomination-24b-v1.2-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Forgotten-Abomination-24B-v1.2-Q8_0-GGUF --hf-file forgotten-abomination-24b-v1.2-q8_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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 Triangle104/Forgotten-Abomination-24B-v1.2-Q8_0-GGUF --hf-file forgotten-abomination-24b-v1.2-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Forgotten-Abomination-24B-v1.2-Q8_0-GGUF --hf-file forgotten-abomination-24b-v1.2-q8_0.gguf -c 2048
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llama

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