UWV/leesplank-noot-llama-3.2-3b
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Nov 11, 2025License:apache-2.0Architecture:Transformer Open Weights Warm
UWV/leesplank-noot-llama-3.2-3b is a 3.2 billion parameter language model with a 32768 token context length. Developed by UWV, this model is part of the Llama 3.2 family. Its primary use case is general language understanding and generation tasks, leveraging its substantial context window for processing longer inputs.
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Overview
UWV/leesplank-noot-llama-3.2-3b is a 3.2 billion parameter language model from the Llama 3.2 family, developed by UWV. It features a significant context length of 32768 tokens, allowing it to process and understand extensive textual inputs.
Key Capabilities
- Extended Context Understanding: With a 32768 token context window, the model can handle longer documents, conversations, and code snippets, maintaining coherence and relevance over extended interactions.
- General Language Tasks: Suitable for a broad range of natural language processing applications, including text generation, summarization, question answering, and more.
Good for
- Applications requiring processing of long-form content, such as legal documents, research papers, or detailed reports.
- Conversational AI systems that need to maintain context over many turns.
- Developers looking for a moderately sized model with a large context window for general-purpose language tasks.