---
license: apache-2.0
language:
- en
base_model: Surpem/Supertron1-4B
pipeline_tag: text-generation
library_name: transformers
tags:
- reasoning
- math
- coding
- instruction-tuned
- pytorch
- llama-cpp
- gguf
---

# **Surpem/Supertron1-4B-Q4_K_M-GGUF**

This model was converted to GGUF format from [`Surpem/Supertron1-4B`](https://huggingface.co/Surpem/Supertron1-4B) using llama.cpp.
Refer to the [original model card](https://huggingface.co/Surpem/Supertron1-4B) for more details on the model.

* **Developed by:** [Surpem](https://huggingface.co/Surpem)
* **Original model:** [Surpem/Supertron1-4B](https://huggingface.co/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)

```bash
brew install llama.cpp
```

### CLI:
```bash
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:
```bash
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](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```bash
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).
```bash
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```bash
./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"
```
or
```bash
./llama-server --hf-repo Surpem/Supertron1-4B-Q4_K_M-GGUF --hf-file supertron1-4b-q4_k_m.gguf -c 2048
```

---

## **Use with Ollama**

```bash
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},
}
```