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Gemma 3 1b It Qat Q4 0 Unquantized

Developed by google
Gemma 3 is a lightweight open-source multimodal model series developed by Google, built on Gemini technology, supporting text and image inputs with text outputs. The 1B version has undergone instruction tuning and quantization-aware training (QAT), making it suitable for deployment in resource-constrained environments.
Downloads 246
Release Time : 4/8/2025

Model Overview

Gemma 3 is a multimodal model capable of processing text and image inputs to generate text outputs, suitable for various tasks such as Q&A, summarization, and reasoning. The 1B version is instruction-tuned to maintain high quality while reducing memory requirements.

Model Features

Quantization-Aware Training (QAT)
Optimizes the model using QAT technology, maintaining similar quality to bfloat16 after quantization while significantly reducing memory requirements.
Multimodal Capability
Supports text and image inputs (896x896 resolution), capable of handling complex multimodal tasks.
Large Context Window
The 1B version supports input contexts of up to 32K tokens, suitable for processing long documents and complex tasks.
Multilingual Support
Training data includes 140+ languages, providing strong multilingual processing capabilities.
Responsible AI Design
Training data is rigorously filtered to remove harmful and sensitive content, complying with Google's AI safety policies.

Model Capabilities

Text Generation
Image Content Analysis
Multilingual Processing
Code Generation and Understanding
Mathematical Reasoning
Document Summarization
Q&A Systems
Visual Question Answering (VQA)

Use Cases

Content Creation and Communication
Creative Text Generation
Generate creative content such as poetry, scripts, and marketing copy.
Produces diverse texts that align with themes and style requirements.
Intelligent Customer Service
Build conversational customer service systems to handle inquiries.
Understands complex questions and provides accurate responses.
Document Summarization
Automatically generate concise summaries of long documents or reports.
Extracts key information while preserving the core content of the original text.
Research and Education
Language Learning Assistance
Help learners practice writing and grammar.
Provides instant feedback and correction suggestions.
Knowledge Exploration
Answer domain-specific questions to aid research.
Handles interdisciplinary and comprehensive queries.
Visual Understanding
Image Content Analysis
Interpret and describe image content.
Accurately identifies objects, scenes, and text within images.
Document Information Extraction
Extract structured information from scanned documents or images.
Processes various document formats including tables and charts.
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