This is a simplified guide to an AI model called Granite-3.1-2b-Instruct maintained by Ibm-Granite. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model Overview
granite-3.1-2b-instruct is an open-source language model that builds on its predecessor granite-3.0-2b-instruct, extending context length from 4K to 128K tokens. Created by ibm-granite, it offers a balance between computational efficiency and performance. The model sits alongside larger variants like granite-3.1-8b-instruct, providing options for different computational needs.
Model Inputs and Outputs
The model accepts text-based prompts and generates human-like responses through a chat interface. It processes inputs using a system prompt to guide behavior and offers control parameters to fine-tune output generation.
Inputs
- Prompt: The main text input for the model to respond to
- System Prompt: Guides model behavior, defaults to "You are a helpful assistant"
- Temperature: Controls output randomness (0.6 default)
- Max/Min Tokens: Bounds for output length
- Top K/P: Parameters for controlling token selection
- Frequency/Presence Penalties: Adjusts repetition in outputs
Outputs
- Text Generation: Produces text responses in array format
- Context-Aware Responses: Maintains conversation context through chat format
Capabilities
The model performs instruction-followin...
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