Granite-3.2-8B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8 Billion |
| License | Apache 2.0 |
| Developer | IBM Research (Granite Team) |
| Release Date | February 26th, 2025 |
| Model URL | huggingface.co/ibm-research/granite-3.2-8b-instruct-GGUF |
What is granite-3.2-8b-instruct-GGUF?
Granite-3.2-8B-Instruct-GGUF is an advanced multilingual AI model that builds upon its predecessor, Granite-3.1-8B-Instruct. This GGUF-formatted model has been specifically optimized for enhanced thinking capabilities and instruction-following tasks. It represents a significant evolution in IBM's Granite series, combining permissively licensed open-source datasets with internally generated synthetic data focused on reasoning tasks.
Implementation Details
The model has been converted to the GGUF format with various quantizations, making it more efficient for deployment while maintaining its core capabilities. It features controllable thinking mechanisms that can be activated when necessary, ensuring optimal resource utilization and task-appropriate responses.
- Multilingual support for 12 major languages
- Built on permissively licensed datasets
- Controllable thinking capability
- GGUF format optimization
Core Capabilities
- Advanced reasoning and thinking tasks
- Document summarization and text classification
- Information extraction and question-answering
- Retrieval Augmented Generation (RAG)
- Code-related tasks and function calling
- Long-context processing for documents and meetings
- Multilingual dialogue support
Frequently Asked Questions
Q: What makes this model unique?
The model's distinguishing feature is its controllable thinking capability, combined with extensive multilingual support and optimization for long-context tasks. It's specifically designed to balance efficiency with sophisticated reasoning abilities.
Q: What are the recommended use cases?
The model excels in business applications requiring complex reasoning, document processing, and multilingual communication. It's particularly suitable for AI assistants, document analysis, code-related tasks, and long-context summarization.
