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gemma-3-270m-it-GGUF
prithivMLmods/gemma-3-270m-it-GGUF
gemma-3-270m-it-GGUF is a text generation model from prithivMLmods. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
Gemma 3 270M and Gemma 3 270M-IT are lightweight, state-of-the-art multimodal models from Google, developed with the same research and technology as the Gemini family, supporting both text and image inputs (for instru…
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Repo size
2.8 GB
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1
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Repo makeup
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.gguf2.8 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Model type
- gemma3_text
- Access
- Public
- Created
- Aug 22, 2025
- Updated
- Aug 22, 2025
- SHA
- c24d22df
Try a prompt
Base models
Model card
From the Hugging Face model README
gemma-3-270m-it-GGUF
Gemma 3 270M and Gemma 3 270M-IT are lightweight, state-of-the-art multimodal models from Google, developed with the same research and technology as the Gemini family, supporting both text and image inputs (for instruction-tuned sizes above 270M), and delivering high-quality text outputs for tasks like question answering, summarization, image understanding, and code generation over a 32K context window. These models are trained on a diverse, multilingual dataset (over 140 languages) spanning web text, code, math, and images, with rigorous safety and quality filtering, and are designed for efficient deployment in resource-constrained environments. Both pre-trained (270M) and instruction-tuned (270M-IT) variants are openly available, offering robust benchmark performance, responsible AI development practices, and a broad range of academic, creative, and practical applications while emphasizing ethical use, safety, and transparency.
| Model Name | Hugging Face Repository URL |
|---|---|
| gemma-3-270m-it-GGUF | https://huggingface.co/prithivMLmods/gemma-3-270m-it-GGUF/tree/main/gemma-3-270m-it-GGUF |
| gemma-3-270m-GGUF | https://huggingface.co/prithivMLmods/gemma-3-270m-it-GGUF/tree/main/gemma-3-270m-GGUF |
Model Files
Gemma-3-270M-It
| File Name | Quant Type | File Size |
|---|---|---|
| gemma-3-270m-it-BF16.gguf | BF16 | 543 MB |
| gemma-3-270m-it-F16.gguf | F16 | 543 MB |
| gemma-3-270m-it-Q8_0.gguf | Q8_0 | 292 MB |
Gemma-3-270M
| File Name | Quant Type | File Size |
|---|---|---|
| gemma-3-270m-F16.gguf | F16 | 543 MB |
| gemma-3-270m-Q8_0.gguf | Q8_0 | 292 MB |
| gemma-3-270m-it-BF16.gguf | BF16 | 543 MB |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
- Task
- Text Generation
- Library
- transformers
- Type
- gemma3_text
- License
- gemma
- Languages
- en, zh, th, ar, fr
- Created
- Aug 22, 2025
- Updated
- Aug 22, 2025