luisastellet/qwen-metaphor-unke-camada-4-literal-metaforica
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 15, 2026Architecture:Transformer Featherless Exclusive Cold
The luisastellet/qwen-metaphor-unke-camada-4-literal-metaforica is a 0.8 billion parameter model with a 32768 token context length. This model is a fine-tuned variant of the Qwen architecture, developed by luisastellet. Its primary differentiator and use case are not specified in the provided information, as the model card indicates "More Information Needed" for most details.
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Overview
This model, luisastellet/qwen-metaphor-unke-camada-4-literal-metaforica, is a 0.8 billion parameter language model based on the Qwen architecture. It supports a substantial context length of 32768 tokens. The model card indicates that specific details regarding its development, training, and intended use cases are currently pending.
Key Capabilities
- Qwen Architecture: Built upon the Qwen model family, suggesting general language understanding and generation capabilities.
- Large Context Window: Features a 32768-token context length, enabling processing of extensive inputs and maintaining coherence over long conversations or documents.
Good for
- Exploration: Suitable for researchers and developers interested in experimenting with Qwen-based models at the 0.8B parameter scale.
- Long-form Text Processing: The large context window makes it potentially useful for tasks requiring understanding or generation of lengthy content, once its specific fine-tuning objectives are clarified.