Alamerton/10-dec
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Dec 12, 2025License:mitArchitecture:Transformer Open Weights Cold
Alamerton/10-dec is a 7.6 billion parameter language model developed by Alamerton, featuring an extensive context length of 131072 tokens. This model is designed for research purposes, focusing on large-scale contextual understanding and generation. Its primary differentiator is its exceptionally long context window, enabling processing and reasoning over vast amounts of information.
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Overview
Alamerton/10-dec is a 7.6 billion parameter language model developed by Alamerton. It stands out due to its remarkably large context window, supporting up to 131072 tokens, which allows it to process and generate text based on extensive input. This model is specifically released for research purposes under an MIT License.
Key Capabilities
- Extended Context Understanding: Processes and maintains coherence over very long sequences of text, up to 131072 tokens.
- Large-Scale Information Processing: Suitable for tasks requiring the assimilation of vast amounts of information from a single input.
- Research-Oriented: Provided under an MIT License, encouraging exploration and development in advanced language model applications.
Good For
- Long-form document analysis: Summarizing, querying, or generating content from entire books, extensive reports, or large codebases.
- Complex reasoning tasks: Solving problems that require synthesizing information from many disparate parts of a lengthy input.
- Experimental AI research: Investigating the limits and capabilities of models with extremely long context windows.