luisastellet/tucano_metaphor_melhor_hp_10epocas

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 4, 2026Architecture:Transformer Featherless Exclusive Cold

The luisastellet/tucano_metaphor_melhor_hp_10epocas is a 0.8 billion parameter language model. This model is a fine-tuned version of an unspecified base model, developed by luisastellet. Due to limited information in its model card, specific differentiators or primary use cases beyond being a Hugging Face transformer model are not detailed.

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Model Overview

The luisastellet/tucano_metaphor_melhor_hp_10epocas is a 0.8 billion parameter language model hosted on the Hugging Face Hub. This model is presented as a fine-tuned transformer model, though specific details regarding its base architecture, training data, or the exact nature of its fine-tuning are not provided in its current model card. The model card indicates that it is an automatically generated entry for a Hugging Face transformer model.

Key Characteristics

  • Parameter Count: 0.8 billion parameters.
  • Context Length: Supports a context length of 32768 tokens.
  • Origin: Developed by luisastellet.
  • Information Scarcity: The model card explicitly states that more information is needed across various sections, including its developer, model type, language(s), license, finetuned base model, intended uses, biases, risks, limitations, training details, and evaluation results.

Use Cases and Limitations

Due to the lack of detailed information in the model card, specific direct or downstream use cases cannot be definitively identified. Users are advised that the model's capabilities, performance, and potential biases or limitations are currently undocumented. It is recommended that users exercise caution and conduct thorough independent evaluation before deploying this model for any specific application, as critical details regarding its development and intended functionality are pending.