Granite-3.2-8B-Instruct
| Property | Value |
|---|---|
| Parameter Count | 8 Billion |
| Release Date | February 26th, 2025 |
| License | Apache 2.0 |
| Developer | IBM Granite Team |
| Model URL | huggingface.co/ibm-granite/granite-3.2-8b-instruct |
What is granite-3.2-8b-instruct?
Granite-3.2-8B-Instruct represents IBM's latest advancement in large language models, building upon its predecessor Granite-3.1-8B-Instruct. This model stands out for its enhanced reasoning capabilities and controllable thinking mechanism, trained on a combination of permissively licensed open-source datasets and internally generated synthetic data. The model shows significant improvements in benchmark performance, particularly in ArenaHard (55.25%) and Alpaca-Eval-2 (61.19%), demonstrating substantial progress in reasoning and instruction-following tasks.
Implementation Details
The model is trained on IBM's Blue Vela supercomputing cluster using NVIDIA H100 GPUs, enabling efficient scaling across thousands of processors. It supports 12 languages out of the box and can be fine-tuned for additional languages. The implementation includes special features for controlling the model's thinking process, making it particularly suitable for complex reasoning tasks.
- Trained using a mix of permissively licensed and synthetic data
- Implements controllable thinking capabilities
- Supports long-context operations
- Optimized for instruction-following tasks
Core Capabilities
- Advanced thinking and reasoning
- Text summarization and classification
- Information extraction and question-answering
- Retrieval Augmented Generation (RAG)
- Code-related tasks and function calling
- Multilingual dialogue processing
- Long document analysis and summarization
Frequently Asked Questions
Q: What makes this model unique?
The model's distinguishing feature is its controllable thinking capability, allowing users to activate detailed reasoning processes when needed. This, combined with its strong performance across various benchmarks and multilingual support, makes it particularly valuable for complex business applications.
Q: What are the recommended use cases?
The model excels in business applications requiring complex reasoning, document analysis, and multilingual communication. It's particularly well-suited for tasks involving long-context understanding, code generation, and systematic problem-solving where step-by-step thinking is beneficial.
