ibm-granite/granite-3.1-3b-a800m-base
Granite-3.1-3B-A800M-Base is a 3.3 billion parameter sparse Mixture of Experts (MoE) decoder-only transformer model developed by the IBM Granite Team. It extends the context length to 128K tokens using a progressive training strategy, making it suitable for applications requiring extensive context understanding. This base model is designed for text-to-text generation tasks such as summarization, classification, extraction, and question-answering, and serves as a foundation for specialized models.
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Model Overview
Granite-3.1-3B-A800M-Base is a 3.3 billion parameter sparse Mixture of Experts (MoE) language model developed by the IBM Granite Team. It significantly extends its context length to 128K tokens, a key differentiator achieved through a progressive training strategy over approximately 500 billion tokens. This model is built on a decoder-only transformer architecture featuring Fine-grained Experts, Dropless Token Routing, and Load Balancing Loss.
Key Capabilities
- Extended Context Window: Supports an impressive 128K token context length, enabling processing of very long documents and conversations.
- Multilingual Support: Capable of handling English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese, with potential for fine-tuning in other languages.
- General Text-to-Text Generation: Designed for a wide array of tasks including summarization, text classification, information extraction, and question-answering.
- Base Model Flexibility: Serves as a robust foundation for creating specialized models tailored to specific application scenarios.
Intended Use Cases
This model is well-suited for developers and researchers looking for a powerful base model with an exceptionally long context window. It can be applied to:
- Applications requiring deep understanding and generation from extensive textual data.
- Developing custom solutions for summarization, classification, and Q&A.
- Fine-tuning for domain-specific tasks or additional languages.
Limitations and Ethical Considerations
As a base model, Granite-3.1-3B-A800M-Base has not undergone safety alignment and may produce problematic outputs. Users should be aware of potential risks such as bias, misinformation, and the possibility of hallucination, especially in smaller models. Responsible and ethical deployment is strongly encouraged.