1010happy/Teacher_r14_train_gptmini-Qwen2-5-1-5B-seed896

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 2, 2026Architecture:Transformer Featherless Exclusive Cold

The 1010happy/Teacher_r14_train_gptmini-Qwen2-5-1-5B-seed896 model is a 1.5 billion parameter language model based on the Qwen2 architecture. This model is automatically generated and its specific training details, primary differentiators, and intended use cases are not explicitly provided in its current model card. Further information is needed to determine its unique capabilities or optimal applications compared to other LLMs.

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Model Overview

This model, 1010happy/Teacher_r14_train_gptmini-Qwen2-5-1-5B-seed896, is a 1.5 billion parameter language model. It is based on the Qwen2 architecture, as indicated by its name. The model card states that it is an automatically generated Hugging Face Transformers model.

Key Characteristics

  • Model Type: 1.5 billion parameters, based on the Qwen2 architecture.
  • Context Length: Supports a context length of 32768 tokens.
  • Development Status: The model card indicates that specific details regarding its developer, funding, language(s), license, and finetuning origin are currently "More Information Needed."

Intended Use and Limitations

  • Direct Use: Specific direct use cases are not provided, with the model card stating "More Information Needed."
  • Downstream Use: Similarly, details on downstream applications or fine-tuning are not specified.
  • Out-of-Scope Use: The model card does not detail specific out-of-scope uses, misuse, or malicious use cases.
  • Bias, Risks, and Limitations: The model card acknowledges that users should be aware of potential risks, biases, and limitations, but specific details are currently "More Information Needed."

Training and Evaluation

  • Training Data & Procedure: Information regarding the training data, preprocessing, hyperparameters, and training regime is currently not available.
  • Evaluation: Details on testing data, factors, metrics, and results are also marked as "More Information Needed."

Due to the lack of detailed information in the provided model card, specific recommendations for its use, unique capabilities, or performance benchmarks cannot be provided at this time. Users are advised to seek further documentation from the model developer for comprehensive understanding.

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