hariharanv04/qwen3-4b-instruct-meta-refined3
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Mar 10, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The hariharanv04/qwen3-4b-instruct-meta-refined3 is a 4 billion parameter instruction-tuned Qwen3 model developed by hariharanv04. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
The hariharanv04/qwen3-4b-instruct-meta-refined3 is a 4 billion parameter instruction-tuned language model based on the Qwen3 architecture. Developed by hariharanv04, this model was fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit.
Key Characteristics
- Efficient Training: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library, highlighting an optimized fine-tuning process.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a variety of conversational and task-oriented applications.
- Qwen3 Base: Built upon the Qwen3 model family, inheriting its foundational capabilities.
Good For
- General Instruction Following: Excels at understanding and executing user instructions.
- Applications requiring efficient models: Its 4B parameter size makes it suitable for scenarios where computational resources are a consideration.
- Developers interested in Unsloth-trained models: Provides an example of a model fine-tuned with Unsloth for accelerated training.