masterofnone00/qwen3-4b-jsmill-persona-merged

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The masterofnone00/qwen3-4b-jsmill-persona-merged is a 4 billion parameter Qwen3 model developed by masterofnone00, fine-tuned from unsloth/qwen3-4b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable foundation.

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Model Overview

The masterofnone00/qwen3-4b-jsmill-persona-merged is a 4 billion parameter Qwen3 model, developed by masterofnone00. It was fine-tuned from the unsloth/qwen3-4b-unsloth-bnb-4bit base model.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: Features 4 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Use Cases

This model is suitable for various natural language processing tasks where a moderately sized, efficiently trained language model is beneficial. Its Qwen3 architecture and optimized training suggest it can handle a range of generative and understanding tasks effectively.

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