Gemma-3-27B-IT-GGUF
| Property | Value |
|---|---|
| Author | Google DeepMind / Unsloth |
| Model Size | 27 Billion Parameters |
| Context Window | 128K tokens |
| Training Tokens | 14 trillion |
| Documentation | Technical Report |
What is gemma-3-27b-it-GGUF?
Gemma-3-27B-IT-GGUF is a state-of-the-art multimodal language model from Google's Gemma family, converted to the efficient GGUF format. This model represents the largest variant in the Gemma 3 series, trained on 14 trillion tokens and capable of processing both text and images while generating high-quality text outputs.
Implementation Details
The model was trained using Google's TPU infrastructure (TPUv4p, TPUv5p, and TPUv5e) using JAX and ML Pathways frameworks. The GGUF format enables efficient deployment on consumer hardware while maintaining the model's powerful capabilities.
- Supports 140+ languages with strong multilingual performance
- 128K token context window for extensive input processing
- Image processing capability with 896x896 resolution support
- Optimized for deployment on laptops, desktops, and cloud infrastructure
Core Capabilities
- Multimodal processing of text and images
- Strong performance in reasoning tasks (85.6% on HellaSwag)
- Advanced mathematical and coding abilities (82.6% on GSM8K)
- High-quality multilingual processing (74.3% on MGSM)
- Robust image understanding (85.6% on DocVQA)
Frequently Asked Questions
Q: What makes this model unique?
This model combines state-of-the-art performance with practical deployability, offering the largest Gemma 3 variant (27B parameters) in an efficient GGUF format. It excels in both text and image processing while maintaining a large 128K context window, making it suitable for complex multimodal tasks.
Q: What are the recommended use cases?
The model is well-suited for content creation, chatbots, text summarization, image analysis, research applications, and educational tools. It performs particularly well in tasks requiring reasoning, mathematical computation, and multilingual processing.
