metadata

language:
  - en
license: apache-2.0
library_name: transformers
base_model: arcee-ai/Homunculus
tags:
  - distillation
  - /think
  - /nothink
  - reasoning-transfer
  - arcee-ai
  - llama-cpp
  - gguf-my-repo

Triangle104/Homunculus-Q8_0-GGUF

This model was converted to GGUF format from arcee-ai/Homunculus using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Homunculus is a 12 billion-parameter instruction model distilled from Qwen3-235B onto the Mistral-Nemo backbone. It was purpose-built to preserve Qwen’s two-mode interaction style—/think (deliberate chain-of-thought) and /nothink (concise answers)—while running on a single consumer GPU.

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/Homunculus-Q8_0-GGUF --hf-file homunculus-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Homunculus-Q8_0-GGUF --hf-file homunculus-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/Homunculus-Q8_0-GGUF --hf-file homunculus-q8_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Triangle104/Homunculus-Q8_0-GGUF --hf-file homunculus-q8_0.gguf -c 2048