Granite3.3 8B - Details

The Granite3.3 8B is a large language model developed by IBM Granite, featuring 8 billion parameters. It operates under the Apache License 2.0, allowing flexible use and modification. This model is designed to excel in long-context tasks, offering enhanced reasoning and instruction-following capabilities to support complex applications.

Granite3.3 8B is an 8-billion parameter language model with a 128K context length, designed for enhanced reasoning and instruction-following tasks. It is fine-tuned to excel in mathematics, coding, and complex instruction following, leveraging structured reasoning through specific tags. Built on the Granite-3.3-8B-Base foundation, it combines permissively licensed data with synthetic tasks during training to improve adaptability and performance across diverse applications.

The Granite3.3 8B model features 8 billion parameters and a 128,000-token context length, positioning it in the mid-scale parameter range for balanced performance on moderate complexity tasks while maintaining efficiency. Its 128K context length enables handling extended texts and complex reasoning, though it requires significant computational resources. This combination allows the model to excel in tasks requiring deep analysis of long documents or multi-step instructions, making it versatile for applications like coding, mathematical problem-solving, and detailed content generation.
- Parameter Size: 8b
- Context Length: 128k

The Granite3.3 8B model presents possible applications in areas such as general instruction-following tasks, where its structured reasoning and long-context capabilities could support complex workflows. It offers possible integration into AI assistants for business environments, enabling tailored interactions for specific organizational needs. The model’s possible role in code-related tasks, including generation and analysis, could benefit developers seeking efficient tools. Its possible suitability for function-calling tasks might enhance automation in dynamic systems. Multilingual dialog use cases, supported by its possible ability to handle multiple languages, could expand accessibility for global teams. Additionally, its possible strength in long-context tasks like document summarization and question-answering might improve efficiency in handling extensive textual data. These possible uses require thorough exploration to align with specific requirements and constraints.
- general instruction-following tasks
- integration into AI assistants for business applications
- handling code-related tasks
- function-calling tasks
- multilingual dialog use cases
- long-context tasks like document summarization and QA

The Granite3.3 8B model offers possible applications in areas such as code generation and analysis, where its structured reasoning and long-context capabilities could support developers in creating and debugging complex programs. It presents possible value in document summarization and question-answering tasks, leveraging its extended context length to handle detailed textual data efficiently. Its possible multilingual support makes it suitable for dialog systems that require interaction in multiple languages, enhancing accessibility for diverse user bases. Additionally, the model’s possible ability to manage function-calling tasks could aid in automating workflows within business environments. These possible uses require thorough evaluation to ensure alignment with specific needs and constraints.
- code generation and analysis
- document summarization and question-answering
- multilingual dialog systems
- function-calling tasks

The Granite3.3 8B model’s medium q4 version requires a GPU with at least 16GB VRAM and 32GB of system memory to operate efficiently, balancing precision and performance for general tasks. Possible applications may demand additional resources depending on workload, so users should verify their hardware compatibility.
- q4

The Granite3.3 8B is an 8-billion-parameter language model with a 128K context length, designed for enhanced reasoning, instruction-following, and multilingual tasks across diverse applications. It operates under the Apache License 2.0, offering flexibility for development and deployment while focusing on long-context analysis, code-related workflows, and structured reasoning through specialized tags.

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