ulab-ai/Router-R1-Llama-3.2-3B-Instruct
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Jun 17, 2025License:apache-2.0Architecture:Transformer Open Weights Warm
The Router-R1-Llama-3.2-3B-Instruct model by ulab-ai is a 3.2 billion parameter instruction-tuned language model with a 32768 token context length. This model is designed for general instruction following tasks, leveraging its compact size and extended context window for efficient deployment. It aims to provide a capable foundation for various natural language processing applications.
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Model Overview
The ulab-ai/Router-R1-Llama-3.2-3B-Instruct is an instruction-tuned language model featuring 3.2 billion parameters and an extensive context window of 32768 tokens. Developed by ulab-ai, this model is built to handle a wide range of instruction-following tasks efficiently.
Key Capabilities
- Instruction Following: Designed to accurately interpret and execute user instructions.
- Extended Context: Benefits from a 32768-token context length, allowing it to process and understand longer inputs and generate more coherent, contextually relevant outputs.
- Compact Size: At 3.2 billion parameters, it offers a balance between performance and computational efficiency, making it suitable for environments with resource constraints.
Good For
- General NLP Applications: Ideal for tasks requiring robust instruction adherence and understanding.
- Resource-Constrained Deployments: Its relatively small size makes it a good candidate for edge devices or applications where larger models are impractical.
- Prototyping and Development: Provides a solid base for developers to build and experiment with various language-based applications.