From 85b26820080d4d0c3fbbe5c969571f0ca4a54396 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 4 Sep 2026 00:39:06 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: GuminiResearch/Gumini-1B-Base-i1-GGUF Source: Original Platform --- .gitattributes | 64 ++++++++++++ Gumini-1B-Base-f16.gguf | 3 + Gumini-1B-Base.i1-IQ1_M.gguf | 3 + Gumini-1B-Base.i1-IQ1_S.gguf | 3 + Gumini-1B-Base.i1-IQ2_M.gguf | 3 + Gumini-1B-Base.i1-IQ2_S.gguf | 3 + Gumini-1B-Base.i1-IQ2_XS.gguf | 3 + Gumini-1B-Base.i1-IQ2_XXS.gguf | 3 + Gumini-1B-Base.i1-IQ3_M.gguf | 3 + Gumini-1B-Base.i1-IQ3_S.gguf | 3 + Gumini-1B-Base.i1-IQ3_XS.gguf | 3 + Gumini-1B-Base.i1-IQ3_XXS.gguf | 3 + Gumini-1B-Base.i1-IQ4_NL.gguf | 3 + Gumini-1B-Base.i1-IQ4_XS.gguf | 3 + Gumini-1B-Base.i1-Q2_K.gguf | 3 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+ + + + + +

+ +

+ + + + + + + + + + + +

+ +

Built with Qwen

+ +## Model Description + +GGUF quantized versions of [GuminiResearch/Gumini-1B-Base](https://huggingface.co/GuminiResearch/Gumini-1B-Base) for use with [llama.cpp](https://github.com/ggerganov/llama.cpp) and compatible tools (Ollama, LM Studio, etc.). + +All quantizations were created using **importance matrix (imatrix)** calibration for optimal quality preservation. + +> This is a **BASE model**, not instruction-tuned. +> It produces text continuations rather than conversational responses. + +## Model Details + +| Attribute | Value | +|-----------|-------| +| **Original Model** | [Gumini-1B-Base](https://huggingface.co/GuminiResearch/Gumini-1B-Base) | +| **Quantized by** | [Gumin Kwon (권구민)](https://linkedin.com/in/devgumin) | +| **Parameters** | 1.08B | +| **Layers** | 10 | +| **Hidden Size** | 2048 | +| **Base PPL (F16)** | 15.36 | + +## Quantization Results + +### Perplexity Comparison + +![PPL Comparison](ppl_comparison.png) + +### PPL vs Size Trade-off + +![PPL vs Size](ppl_vs_size.png) + +### Recommended Quantizations + +| 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 | + +### All Quantization Results + +![Quantization Results](quantization_results.png) + +## Usage + +### With llama.cpp + +```bash +# Download +huggingface-cli download GuminiResearch/Gumini-1B-Base-i1-GGUF Gumini-1B-Base.i1-Q4_K_M.gguf + +# Run +./llama-cli -m Gumini-1B-Base.i1-Q4_K_M.gguf -p "저는 구미니입니다." -n 100 +``` + +### With Ollama + +```bash +echo 'FROM ./Gumini-1B-Base.i1-Q4_K_M.gguf' > Modelfile +ollama create gumini-1b -f Modelfile +ollama run gumini-1b +``` + +### With LM Studio + +1. Download any `.gguf` file from this repo +2. Import into LM Studio +3. Start generating! + +## Quantization Guide + +![Quantization Types Guide](quant_types_guide.png) + +### Tips +- **Best quality**: Use Q8_0 or Q6_K +- **Balanced**: Use Q5_K_M or Q4_K_M +- **Mobile/Edge**: Use IQ4_XS or IQ3_M +- **"i1" prefix**: Indicates imatrix was used during quantization + +## Original Model + +**Gumini-1B** (구미니) is a bilingual Korean-English base language model created by inheriting the first 10 layers of **Qwen 2.5 3B** using the *Inheritune* methodology. + +- **Training Method**: Inheritune + Pretraining +- **Tokens Trained**: ~393M tokens +- **Training Data**: 80% Korean, 20% English + +See [GuminiResearch/Gumini-1B-Base](https://huggingface.co/GuminiResearch/Gumini-1B-Base) for full details. + +## License + +### Qwen Research License (Non-Commercial) + +This model is **Built with Qwen** and derived from Qwen 2.5 3B. + +``` +Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT. +Copyright (c) Alibaba Cloud. All Rights Reserved. +``` + +**This model is for NON-COMMERCIAL / RESEARCH use only.** +For commercial use, contact Alibaba Cloud. + +## Citation + +```bibtex +@misc{gumini2025, + title={Gumini-1B: Bilingual Language Model Built with Qwen via Inheritune}, + author={Gumin Kwon}, + year={2025}, + note={Built with Qwen}, + url={https://huggingface.co/GuminiResearch/Gumini-1B-Base-i1-GGUF} +} +``` +## Author + +**Gumin Kwon (권구민)** +- 🔗 LinkedIn: https://linkedin.com/in/devgumin +- 🤗 Hugging Face: https://huggingface.co/GuminiResearch +- 𝕏 X (Twitter): https://x.com/Gumini_Research +- 📸 Instagram: https://www.instagram.com/gumini_research/ + +--- + +

+ Built with Qwen
+ Gumini - 작지만 똑똑한 AI +

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