luisastellet/qwen_metaphor_melhor_hp

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 31, 2026Architecture:Transformer Featherless Exclusive Cold

The luisastellet/qwen_metaphor_melhor_hp is a 0.8 billion parameter language model developed by luisastellet. This model is a Qwen-based architecture, offering a context length of 32768 tokens. Its specific fine-tuning or primary differentiator is not detailed in the provided information, suggesting it may be a base model or an initial fine-tune without explicit specialization.

Loading preview...

Model Overview

The luisastellet/qwen_metaphor_melhor_hp is a language model with 0.8 billion parameters, developed by luisastellet. It is based on the Qwen architecture and supports a substantial context length of 32768 tokens. The provided model card indicates that this is a Hugging Face Transformers model, but specific details regarding its training data, fine-tuning objectives, or unique capabilities are marked as "More Information Needed."

Key Characteristics

  • Parameter Count: 0.8 billion parameters.
  • Context Length: Supports a long context window of 32768 tokens.
  • Architecture: Based on the Qwen model family.

Current Status and Limitations

As per the model card, detailed information on its intended uses, specific performance metrics, training procedures, and potential biases or limitations is currently unavailable. Users should be aware that without further details, the model's optimal use cases and potential risks are not fully documented. Recommendations for use are pending more comprehensive information regarding its development and evaluation.

Finetunes
1 models