thlee25/My-First-Qwen-Model

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Mar 12, 2026Architecture:Transformer Warm

thlee25/My-First-Qwen-Model is a 1.5 billion parameter language model based on the Qwen architecture, featuring a 32768-token context length. This model is a foundational Qwen variant, providing a base for further fine-tuning or specific applications. Its primary utility lies in serving as an initial exploration or development platform within the Qwen model family.

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Model Overview

thlee25/My-First-Qwen-Model is a 1.5 billion parameter language model built upon the Qwen architecture. It supports a substantial context length of 32768 tokens, making it suitable for processing longer sequences of text.

Key Characteristics

  • Architecture: Based on the Qwen model family.
  • Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Features a 32768-token context window, enabling the model to handle extensive inputs and generate coherent, long-form outputs.

Potential Use Cases

Given the limited information in the provided model card, this model is best suited for:

  • Initial Development & Experimentation: Ideal for developers looking to explore the Qwen architecture or build their first applications using a Qwen-based model.
  • Fine-tuning Base: Can serve as a foundational model for further fine-tuning on specific datasets or tasks where a 1.5B parameter model is appropriate.
  • Educational Purposes: Useful for understanding the basic functionality and integration of Qwen models within various frameworks.