stefanruseti/newsvibe-stance-qwen3.5-2b

VISIONConcurrent Unit Cost:1Model Size:2.3BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 2, 2026Architecture:Transformer Featherless Exclusive Cold

stefanruseti/newsvibe-stance-qwen3.5-2b is a 2.3 billion parameter language model developed by stefanruseti. This model is based on the Qwen architecture and has a context length of 32768 tokens. Its primary differentiator and main use case are not specified in the provided model card, indicating it may be a base model or fine-tuned for a specific, unstated task.

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Model Overview

stefanruseti/newsvibe-stance-qwen3.5-2b is a 2.3 billion parameter language model. The model's architecture is based on the Qwen family, and it supports a substantial context length of 32768 tokens. The provided model card indicates that specific details regarding its development, funding, language support, and fine-tuning origins are currently not available.

Key Characteristics

  • Parameter Count: 2.3 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.
  • Base Architecture: Derived from the Qwen model family.

Intended Use and Limitations

The model card does not specify direct or downstream use cases, nor does it detail any particular biases, risks, or limitations. Users are advised that more information is needed to understand its appropriate applications and potential issues. Recommendations for use are pending further details on its training data, procedure, and evaluation results, which are currently marked as "More Information Needed" in the model card.

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