sangerno63/affine-5CRtQc4mZSuiuReryYKFRf2qN8E5iDMVrJcbPHd7FYAnX3V5

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Jan 15, 2026Architecture:Transformer Cold

The sangerno63/affine-5CRtQc4mZSuiuReryYKFRf2qN8E5iDMVrJcbPHd7FYAnX3V5 is a 4 billion parameter language model with a 40960 token context length. This model's specific architecture, training details, and intended use cases are not provided in its current model card. Further information is needed to determine its unique differentiators or primary strengths compared to other LLMs.

Loading preview...

Overview

The sangerno63/affine-5CRtQc4mZSuiuReryYKFRf2qN8E5iDMVrJcbPHd7FYAnX3V5 is a language model with 4 billion parameters and an extended context length of 40960 tokens. The model card indicates that this is a Hugging Face Transformers model, but detailed information regarding its development, specific model type, language support, or training origins is currently marked as "More Information Needed."

Key Capabilities

  • Parameter Count: 4 billion parameters, suggesting a balance between performance and computational efficiency.
  • Context Length: An exceptionally long context window of 40960 tokens, which could be beneficial for tasks requiring extensive memory or processing of long documents.

Limitations and Recommendations

Due to the lack of specific details in the model card, the intended uses, potential biases, risks, and limitations of this model are not yet defined. Users are advised to exercise caution and await further documentation before deploying this model in critical applications. Recommendations for direct and downstream use, as well as out-of-scope applications, are currently unavailable. It is recommended that the developers provide more comprehensive information regarding the model's architecture, training data, evaluation metrics, and intended applications to guide users effectively.