1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-1-5B-Instruct-seed51485

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 11, 2026Architecture:Transformer Featherless Exclusive Cold

The 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-1-5B-Instruct-seed51485 is a 1.5 billion parameter instruction-tuned model based on the Qwen2-5-1-5B-Instruct architecture. This model is automatically generated and pushed to the Hugging Face Hub. Due to limited information in its model card, specific differentiators or primary use cases beyond being an instruction-tuned language model are not detailed. Further information is needed to determine its specialized capabilities or optimal applications.

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Model Overview

This model, named 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-1-5B-Instruct-seed51485, is a 1.5 billion parameter language model. It is an instruction-tuned variant, automatically generated and hosted on the Hugging Face Hub. The model card indicates it is based on the Qwen2-5-1-5B-Instruct architecture.

Key Characteristics

  • Parameter Count: 1.5 billion parameters.
  • Context Length: Supports a context length of 32768 tokens.
  • Architecture: Derived from the Qwen2-5-1-5B-Instruct family.
  • Instruction-Tuned: Designed to follow instructions, typical of instruct models.

Current Limitations and Information Gaps

Due to the automatically generated nature of its model card, specific details regarding its development, training data, performance benchmarks, intended direct or downstream uses, and potential biases or limitations are currently marked as "More Information Needed." This means that without further updates to the model card, its unique strengths, optimal use cases, and specific performance characteristics remain undefined. Users should be aware of these information gaps when considering its application.