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natemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF overview

natemiller1928/Llama 3.2 8X3B MOE Dark Champion Instruct uncensored abliterated 18.4B Q4 0 GGUF This model was converted to GGUF format from DavidAU/Llama 3.2 …

transformersggufmergekitmergellama-3llama-3.2llama-cppgguf-my-repobase_model:DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4Bbase_model:quantized:DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4Bendpoints_compatibleregion:usconversational

Runs locally from ~9.83 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).

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Model Details

Model IDnatemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF
Authornatemiller1928
Pipeline
License
Base modelDavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B
Last modified2026-09-07T03:49:34.000Z

Model README

---

library_name: transformers

tags:

  • mergekit
  • merge
  • llama-3
  • llama-3.2
  • llama-cpp
  • gguf-my-repo

base_model: DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B

---

natemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF

This model was converted to GGUF format from DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B using llama.cpp via the ggml.ai's GGUF-my-repo space.

Refer to the original model card for more details on the model.

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 natemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF --hf-file llama-3.2-8x3b-moe-dark-champion-instruct-uncensored-abliterated-18.4b-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo natemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF --hf-file llama-3.2-8x3b-moe-dark-champion-instruct-uncensored-abliterated-18.4b-q4_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 natemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF --hf-file llama-3.2-8x3b-moe-dark-champion-instruct-uncensored-abliterated-18.4b-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo natemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF --hf-file llama-3.2-8x3b-moe-dark-champion-instruct-uncensored-abliterated-18.4b-q4_0.gguf -c 2048

Run natemiller1928/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-Q4_0-GGUF with guIDE

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