KingNish/Miro-test

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Nov 23, 2025Architecture:Transformer Featherless Exclusive Cold

KingNish/Miro-test is a 1.5 billion parameter language model developed by KingNish. This model is presented as a base model with a context length of 32768 tokens. Due to the lack of specific details in its model card, its primary differentiators and optimized use cases are not explicitly defined.

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Model Overview

KingNish/Miro-test is a 1.5 billion parameter language model with a substantial context length of 32768 tokens. The model card indicates it is a Hugging Face Transformers model, but specific details regarding its architecture, training data, or intended applications are marked as "More Information Needed." This suggests it is a foundational model awaiting further definition or fine-tuning.

Key Characteristics

  • Parameter Count: 1.5 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.
  • Development Status: The model card indicates that many details, such as its developer, funding, language(s), license, and finetuning origins, are currently unspecified.

Intended Use and Limitations

Given the current lack of detailed information, the direct and downstream uses of KingNish/Miro-test are not explicitly defined. Users should be aware that without further specifications on its training data, biases, risks, and limitations, its suitability for specific tasks remains undetermined. Recommendations for use are pending more comprehensive model documentation.

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