library_name: transformers
license: llama3.2
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
tags:
- abliterated
- uncensored
- llama-cpp
- gguf-my-repo
Triangle104/Llama-3.2-3B-Instruct-abliterated-Q4_K_S-GGUF
This model was converted to GGUF format from huihui-ai/Llama-3.2-3B-Instruct-abliterated
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Model details:
This is an uncensored version of Llama 3.2 3B Instruct created with abliteration (see this article to know more about it).
Special thanks to @FailSpy for the original code and technique. Please follow him if you're interested in abliterated models. Evaluations
The following data has been re-evaluated and calculated as the average for each test.
Benchmark
Llama-3.2-3B-Instruct - Llama-3.2-3B-Instruct-abliterated
IF_Eval
76.55 - 76.76
MMLU Pro
27.88 - 28.00
TruthfulQA
50.55 - 50.73
BBH
41.81 - 41.86
GPQA
28.39 - 28.41
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/Llama-3.2-3B-Instruct-abliterated-Q4_K_S-GGUF --hf-file llama-3.2-3b-instruct-abliterated-q4_k_s.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/Llama-3.2-3B-Instruct-abliterated-Q4_K_S-GGUF --hf-file llama-3.2-3b-instruct-abliterated-q4_k_s.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/Llama-3.2-3B-Instruct-abliterated-Q4_K_S-GGUF --hf-file llama-3.2-3b-instruct-abliterated-q4_k_s.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/Llama-3.2-3B-Instruct-abliterated-Q4_K_S-GGUF --hf-file llama-3.2-3b-instruct-abliterated-q4_k_s.gguf -c 2048