From ae796a94c1314b446e7f10d03116899956e15004 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 3 Sep 2026 15:20:18 +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-1.5B-Base-i1-GGUF Source: Original Platform --- .gitattributes | 64 +++++++++ Gumini-1.5B-Base-f16.gguf | 3 + Gumini-1.5B-Base.i1-IQ1_M.gguf | 3 + Gumini-1.5B-Base.i1-IQ1_S.gguf | 3 + Gumini-1.5B-Base.i1-IQ2_M.gguf | 3 + Gumini-1.5B-Base.i1-IQ2_S.gguf | 3 + Gumini-1.5B-Base.i1-IQ2_XS.gguf | 3 + Gumini-1.5B-Base.i1-IQ2_XXS.gguf | 3 + Gumini-1.5B-Base.i1-IQ3_M.gguf | 3 + Gumini-1.5B-Base.i1-IQ3_S.gguf | 3 + Gumini-1.5B-Base.i1-IQ3_XS.gguf | 3 + Gumini-1.5B-Base.i1-IQ3_XXS.gguf | 3 + Gumini-1.5B-Base.i1-IQ4_NL.gguf | 3 + Gumini-1.5B-Base.i1-IQ4_XS.gguf | 3 + 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Gumin Kwon +pipeline_tag: text-generation +--- + +# 🐻 Gumini-1.5B-Base-i1-GGUF (κ΅¬λ―Έλ‹ˆ) + +

+ + + + + +

+ +

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

+ + +

Built with Qwen

+ +## Model Description + +GGUF quantized versions of [GuminiResearch/Gumini-1.5B-Base](https://huggingface.co/GuminiResearch/Gumini-1.5B-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-1.5B-Base](https://huggingface.co/GuminiResearch/Gumini-1.5B-Base) | +| **Quantized by** | [Gumin Kwon (ꢌꡬ민)](https://linkedin.com/in/devgumin) | +| **Parameters** | 1.54B | +| **Layers** | 16 | +| **Hidden Size** | 2048 | +| **Base PPL (F16)** | 8.48 | + +## 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 Ξ” | Quality | Use Case | +|-------|-----|------|-------|---------|----------| +| **Q8_0** | 8.50 | 1.5G | +0.02 | Excellent | Maximum quality | +| **Q6_K** | 8.52 | 1.2G | +0.04 | Excellent | High quality | +| **Q5_K_M** | 8.61 | 1.1G | +0.13 | Excellent | Balanced (recommended) | +| **Q4_K_M** | 8.72 | 956M | +0.24 | Very Good | Size optimized | +| **IQ4_XS** | 8.79 | 876M | +0.31 | Very Good | imatrix 4-bit | +| **IQ3_M** | 9.09 | 770M | +0.61 | Good | Mobile/Edge | + +### All Quantization Results + +![Quantization Results](quantization_results.png) + +## Comparison: 1B vs 1.5B + +| Model | Layers | Params | PPL (F16) | Improvement | +|-------|--------|--------|-----------|-------------| +| Gumini 1B | 10 | 1.08B | 15.36 | - | +| **Gumini 1.5B** | 16 | 1.54B | **8.48** | **45% better** | + +The 1.5B model shows significant quality improvement with only 6 additional layers! + +## Usage + +### With llama.cpp + +```bash +# Download +huggingface-cli download GuminiResearch/Gumini-1.5B-Base-i1-GGUF Gumini-1.5B-Base.i1-Q4_K_M.gguf + +# Run +./llama-cli -m Gumini-1.5B-Base.i1-Q4_K_M.gguf -p "μ €λŠ” κ΅¬λ―Έλ‹ˆμž…λ‹ˆλ‹€." -n 100 +``` + +### With Ollama + +```bash +echo 'FROM ./Gumini-1.5B-Base.i1-Q4_K_M.gguf' > Modelfile +ollama create gumini-1.5b -f Modelfile +ollama run gumini-1.5b +``` + +### 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-1.5B** (κ΅¬λ―Έλ‹ˆ) is a bilingual Korean-English base language model trained using the *Inheritune* methodology. Starting from **Qwen 2.5 3B**, the model progressively grew from 10 to 16 layers through 7 training stages. + +### Inheritune Progressive Layer Growing +``` +Stage 0: 10 layers (1.08B) β†’ 393M tokens +Stage 1: 11 layers (1.15B) β†’ 393M tokens +Stage 2: 12 layers (1.23B) β†’ 393M tokens +Stage 3: 13 layers (1.31B) β†’ 393M tokens +Stage 4: 14 layers (1.39B) β†’ 393M tokens +Stage 5: 15 layers (1.47B) β†’ 393M tokens +Stage 6: 16 layers (1.54B) β†’ 786M tokens ⭐ +──────────────────────────────────────────── +Total: 16 layers, 1.54B params, ~3.14B tokens +``` + +- **Training Data**: 80% Korean, 20% English + +See [GuminiResearch/Gumini-1.5B-Base](https://huggingface.co/GuminiResearch/Gumini-1.5B-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. + +## References + +### Inheritune Paper +```bibtex +@inproceedings{Sanyal2024inheritune, + title={Inheritune: Training Smaller Yet More Attentive Language Models}, + author={Sunny Sanyal and Ravid Shwartz-Ziv and Alexandros G. Dimakis and Sujay Sanghavi}, + year={2024}, + url={https://arxiv.org/abs/2404.08634} +} +``` + +### Qwen 2.5 +```bibtex +@misc{qwen2.5, + title={Qwen2.5: A Party of Foundation Models}, + author={Qwen Team}, + year={2024}, + url={https://qwenlm.github.io/blog/qwen2.5/} +} +``` + +## Citation + +```bibtex +@misc{gumini2025, + title={Gumini-1.5B: Bilingual Korean-English Language Model via Inheritune}, + author={Gumin Kwon}, + year={2025}, + note={Built with Qwen. Trained with Inheritune progressive layer growing.}, + url={https://huggingface.co/GuminiResearch/Gumini-1.5B-Base-i1-GGUF} +} +``` + +## Author + +**Gumin Kwon (ꢌꡬ민)** +- πŸ”— LinkedIn: https://linkedin.com/in/devgumin +- πŸ€— Hugging Face: https://huggingface.co/GuminiResearch +- 𝕏 X (Twitter): https://x.com/Gumini_Research +- πŸ“Έ Instagram: https://www.instagram.com/gumini_research/ + +--- + +

+ Built with Qwen
+ Gumini - μž‘μ§€λ§Œ λ˜‘λ˜‘ν•œ AI +

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