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Ill-Ness/
Supertron1-4B-Q4_K_M-GGUF

Name: Supertron1-4B-Q4_K_M-GGUF
Availability: InStock

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Surpem/Supertron1-4B-Q4_K_M-GGUF

This model was converted to GGUF format from Surpem/Supertron1-4B using llama.cpp. Refer to the original model card for more details on the model.

Developed by: Surpem
Original model: Surpem/Supertron1-4B
Quantization: Q4_K_M
License: Apache 2.0

Use with llama.cpp

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

brew install llama.cpp

CLI:

llama-cli --hf-repo Surpem/Supertron1-4B-Q4_K_M-GGUF --hf-file supertron1-4b-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Surpem/Supertron1-4B-Q4_K_M-GGUF --hf-file supertron1-4b-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 Surpem/Supertron1-4B-Q4_K_M-GGUF --hf-file supertron1-4b-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Surpem/Supertron1-4B-Q4_K_M-GGUF --hf-file supertron1-4b-q4_k_m.gguf -c 2048

Use with Ollama

ollama run hf.co/Surpem/Supertron1-4B-Q4_K_M-GGUF

Citation

bibtex

@misc{surpem2026supertron1,
      title={Supertron1-4B — Efficient Instruction-Tuned Language Model},
      author={Surpem},
      year={2026},
      url={https://huggingface.co/Surpem/Supertron1-4B},
}

Ill-Ness/Supertron1-4B-Q4_K_M-GGUF