taharmasmaliyev07/Mirza-Qwen3-4B-Editor-E3-BF16-V2

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jul 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Mirza-Qwen3-4B-Editor-E3-BF16-V2 is a 4 billion parameter Qwen3-based causal language model developed by taharmasmaliyev07. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology for optimized performance.

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Overview

Mirza-Qwen3-4B-Editor-E3-BF16-V2 is a 4 billion parameter language model developed by taharmasmaliyev07. It is built upon the Qwen3 architecture and was finetuned from the unsloth/Qwen3-4B base model.

Key Characteristics

  • Architecture: Qwen3-based causal language model.
  • Parameter Count: 4 billion parameters.
  • Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Released under the Apache-2.0 license.

Intended Use

This model is suitable for various natural language processing tasks, benefiting from its efficient finetuning process. Its Qwen3 foundation and optimized training make it a capable option for applications requiring a moderately sized language model.

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