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This is a BASE model, not instruction-tuned.
It produces text continuations rather than conversational responses.
| Attribute | Value |
|---|---|
| Original Model | Gumini-1B-Base |
| Quantized by | Gumin Kwon (권구민) |
| Parameters | 1.08B |
| Layers | 10 |
| Hidden Size | 2048 |
| Base PPL (F16) | 15.36 |


| Quant | PPL | Size | PPL Δ | Quality | Use Case |
|---|---|---|---|---|---|
| Q8_0 | 15.40 | 1.1G | +0.03 | Excellent | Maximum quality |
| Q6_K | 15.43 | 852M | +0.07 | Excellent | High quality |
| Q5_K_M | 15.46 | 769M | +0.10 | Excellent | Balanced (recommended) |
| Q4_K_M | 15.61 | 691M | +0.25 | Very Good | Size optimized |
| IQ4_XS | 15.69 | 641M | +0.33 | Very Good | imatrix 4-bit |
| IQ3_M | 16.17 | 574M | +0.81 | Good | Mobile/Edge |

1# Download
2huggingface-cli download GuminiResearch/Gumini-1B-Base-i1-GGUF Gumini-1B-Base.i1-Q4_K_M.gguf
3
4# Run
5./llama-cli -m Gumini-1B-Base.i1-Q4_K_M.gguf -p "저는 구미니입니다." -n 1001echo 'FROM ./Gumini-1B-Base.i1-Q4_K_M.gguf' > Modelfile
2ollama create gumini-1b -f Modelfile
3ollama run gumini-1b.gguf file from this repo
Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT.
Copyright (c) Alibaba Cloud. All Rights Reserved.1@misc{gumini2025,
2 title={Gumini-1B: Bilingual Language Model Built with Qwen via Inheritune},
3 author={Gumin Kwon},
4 year={2025},
5 note={Built with Qwen},
6 url={https://huggingface.co/GuminiResearch/Gumini-1B-Base-i1-GGUF}
7}