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llama.cpp and install it following the official guide. We follow the latest version of llama.cpp.
In the following demonstration, we assume that you are running commands under the repository llama.cpp.huggingface-cli:pip install -U huggingface_hubhuggingface-cli download AssistantsLab/SmolLM2-360M-humanized_GGUF smollm2-360M-humanized-q4_k_m.gguf --local-dir . --local-dir-use-symlinks False| Filename | Quant type | File Size |
|---|---|---|
| smollm2-360m-humanized-q2_k.gguf | Q2_K | 219MB |
| smollm2-360m-humanized-q3_k_s.gguf | Q3_K_S | 219MB |
| smollm2-360m-humanized-q3_k_m.gguf | Q3_K_M | 235MB |
| smollm2-360m-humanized-q3_k_l.gguf | Q3_K_L | 246MB |
| smollm2-360m-humanized-q4_0.gguf | Q4_0 | 229MB |
| smollm2-360m-humanized-q4_k_s.gguf | Q4_K_S | 260MB |
| smollm2-360m-humanized-q4_k_m.gguf | Q4_K_M | 271B |
| smollm2-360m-humanized-q5_0.gguf | Q5_0 | 268MB |
| smollm2-360m-humanized-q5_k_s.gguf | Q5_K_S | 283MB |
| smollm2-360m-humanized-q5_k_m.gguf | Q5_K_M | 290MB |
| smollm2-360m-humanized-q6_k.gguf | Q6_K | 367MB |
| smollm2-360m-humanized-q8_0.gguf | Q8_0 | 386MB |
1@misc{allal2024SmolLM2,
2 title={SmolLM2 - with great data, comes great performance},
3 author={Loubna Ben Allal and Anton Lozhkov and Elie Bakouch and Gabriel Martín Blázquez and Lewis Tunstall and Agustín Piqueres and Andres Marafioti and Cyril Zakka and Leandro von Werra and Thomas Wolf},
4 year={2024},
5}1@misc{çalık2025enhancinghumanlikeresponseslarge,
2 title={Enhancing Human-Like Responses in Large Language Models},
3 author={Ethem Yağız Çalık and Talha Rüzgar Akkuş},
4 year={2025},
5 eprint={2501.05032},
6 archivePrefix={arXiv},
7 primaryClass={cs.CL},
8 url={https://arxiv.org/abs/2501.05032},
9}