isbondarev/qwen3-github-issues

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 18, 2026Architecture:Transformer Featherless Exclusive Cold

The isbondarev/qwen3-github-issues model is a 2 billion parameter language model with a 32768 token context length. This model is based on the Qwen architecture, though specific fine-tuning or unique characteristics are not detailed in the provided information. Its primary application or distinguishing features are not specified, as the model card indicates 'More Information Needed' for most sections.

Loading preview...

Model Overview

This model, isbondarev/qwen3-github-issues, is a 2 billion parameter language model. It features a substantial context length of 32768 tokens, suggesting potential for processing longer sequences of text. The model's specific architecture and development details are not provided in the current model card, with most sections marked as 'More Information Needed'.

Key Characteristics

  • Parameter Count: 2 billion parameters
  • Context Length: 32768 tokens

Use Cases

Due to the lack of specific information in the model card, the intended direct or downstream use cases, as well as any unique capabilities or optimizations, are currently undefined. Users should be aware that detailed guidance on its application, performance, and limitations is not available at this time.