bqbbao6/Qwen2.5-1.5B-LoReARonDGNL

TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 11, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The bqbbao6/Qwen2.5-1.5B-LoReARonDGNL is a 1.5 billion parameter Qwen2.5-based causal language model, finetuned by bqbbao6. It was developed using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging its efficient finetuning process to provide a capable yet compact solution.

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Model Overview

The bqbbao6/Qwen2.5-1.5B-LoReARonDGNL is a 1.5 billion parameter language model finetuned from the unsloth/Qwen2.5-1.5B-Instruct base model. It was developed by bqbbao6 under an Apache-2.0 license.

Key Characteristics

  • Base Model: Qwen2.5-1.5B-Instruct
  • Parameter Count: 1.5 billion
  • Context Length: 32768 tokens
  • Training Efficiency: This model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.

Intended Use

This model is suitable for applications requiring a compact yet capable instruction-following language model. Its efficient training methodology suggests it could be a good choice for scenarios where rapid iteration or deployment on resource-constrained environments is beneficial.