library_name: transformers base_model: DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored tags:

heretic
uncensored
decensored
abliterated
finetune
llama-cpp
gguf-my-repo
roleplay

Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF

This model was converted to GGUF format from DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Refusals: 12/100, KL divergence: 0.09 [almost perfect]

Settings: CHAT / ROLEPLAY and/or SMOOTHER operation of this model:

In "KoboldCpp" or "oobabooga/text-generation-webui" or "Silly Tavern" ;

Set the "Smoothing_factor" to 1.5

: in KoboldCpp -> Settings->Samplers->Advanced-> "Smooth_F"

: in text-generation-webui -> parameters -> lower right.

: In Silly Tavern this is called: "Smoothing"

NOTE: For "text-generation-webui"

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 Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.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 Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.gguf -c 2048

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 Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.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 Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Banany/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored-Q4_K_M-GGUF --hf-file llama-3.2-3b-instruct-heretic-ablitered-uncensored-q4_k_m.gguf -c 2048