1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed10

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 8, 2026Architecture:Transformer Featherless Exclusive Cold

The 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed10 is a 3.1 billion parameter instruction-tuned model based on the Qwen2-5-3B-Instruct architecture, featuring a 32K context length. Developed by 1010happy, this model is part of a series of fine-tuned iterations. Due to limited information in its model card, its specific differentiators and primary use cases beyond general instruction following are not detailed.

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Model Overview

This model, 1010happy/BALANCED_Teacher_r14_train_gptmini_all7-Qwen2-5-3B-Instruct-seed10, is an instruction-tuned language model with approximately 3.1 billion parameters and a context length of 32,768 tokens. It is built upon the Qwen2-5-3B-Instruct architecture and was developed by 1010happy.

Key Characteristics

  • Architecture: Based on the Qwen2-5-3B-Instruct family.
  • Parameter Count: 3.1 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a substantial context window of 32,768 tokens, enabling processing of longer inputs and generating more coherent, extended outputs.
  • Instruction-Tuned: Designed to follow instructions effectively, making it suitable for various NLP tasks.

Limitations and Recommendations

Due to the minimal information provided in the model card, specific details regarding its training data, evaluation metrics, intended use cases, biases, risks, and limitations are not available. Users are advised to exercise caution and conduct thorough testing for their specific applications. Further information is needed to provide comprehensive recommendations for its direct or downstream use.

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