Scorpionamir/linguaai-english-tutor

TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 22, 2026Architecture:Transformer Cold

Scorpionamir/linguaai-english-tutor is a 1.5 billion parameter language model developed by Scorpionamir, designed for English language tutoring applications. With a substantial 32768 token context length, this model is optimized for processing extensive conversational data. Its primary strength lies in facilitating interactive English learning and practice, making it suitable for educational technology platforms.

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Model Overview

Scorpionamir/linguaai-english-tutor is a 1.5 billion parameter language model developed by Scorpionamir. This model is specifically designed to function as an English tutor, leveraging its substantial 32768 token context length to handle extended interactions and complex linguistic scenarios. While specific training details and performance metrics are not provided in the model card, its architecture suggests a focus on conversational fluency and language instruction.

Key Capabilities

  • Extended Context Understanding: The 32768 token context window allows for deep comprehension of long conversations and texts, crucial for effective tutoring.
  • English Language Focus: Optimized for tasks related to English language learning, practice, and instruction.

Potential Use Cases

  • Interactive English Tutoring: Ideal for applications that provide personalized English language lessons and conversational practice.
  • Educational Platforms: Can be integrated into platforms requiring AI-driven assistance for English learners.
  • Language Skill Development: Suitable for generating explanations, correcting grammar, and engaging in dialogues to improve English proficiency.

Limitations

As noted in the model card, detailed information regarding its development, specific training data, evaluation results, and potential biases is currently marked as "More Information Needed." Users should be aware of these unknowns and exercise caution, especially in critical applications, until further documentation is provided. Recommendations for use are pending more comprehensive details on the model's risks and limitations.

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