Jackrong/Qwopus3.5-2B-v3

VISIONConcurrency Cost:1Model Size:2.3BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Apr 12, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

Jackrong/Qwopus3.5-2B-v3 is a 2.3 billion parameter Qwen3.5-based causal language model developed by Jackrong. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its efficient finetuning process.

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Model Overview

Jackrong/Qwopus3.5-2B-v3 is a 2.3 billion parameter language model, finetuned by Jackrong from the unsloth/Qwen3.5-2B base model. This iteration, version 3, leverages the Unsloth library in conjunction with Huggingface's TRL library to achieve significantly faster training times.

Key Characteristics

  • Base Model: Qwen3.5-2B architecture.
  • Parameter Count: 2.3 billion parameters.
  • Context Length: Supports a context length of 32768 tokens.
  • Training Efficiency: Utilizes Unsloth for 2x faster finetuning, making it efficient for custom applications.
  • License: Distributed under the Apache-2.0 license.

Good For

  • Applications requiring a compact yet capable language model.
  • Developers looking for a Qwen3.5-based model with optimized training for finetuning.
  • General text generation and understanding tasks where the 2.3B parameter size is suitable.

Finetunes
2 models