longtermrisk/Qwen3-4B-Base-ftjob-6fd14d9c448d-ftjob-adf3bd7963be
The longtermrisk/Qwen3-4B-Base-ftjob-6fd14d9c448d-ftjob-adf3bd7963be is a 4 billion parameter Qwen3-based model, fine-tuned by longtermrisk. This model distinguishes itself by being trained 2x faster using Unsloth and Huggingface's TRL library, making it efficient for specific fine-tuning applications. It is designed for tasks where rapid and efficient fine-tuning of a Qwen3 base model is beneficial.
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Model Overview
This model, developed by longtermrisk, is a fine-tuned variant of the Qwen3-4B-Base architecture, featuring 4 billion parameters. It was specifically trained using the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Key Characteristics
- Base Model: Qwen3-4B-Base
- Parameter Count: 4 billion
- Training Efficiency: Achieved 2x faster training through the integration of Unsloth and Huggingface's TRL library.
- License: Apache-2.0
Use Cases
This model is particularly well-suited for developers and researchers who:
- Require a Qwen3-based model with a moderate parameter count (4B).
- Prioritize rapid fine-tuning for specific downstream tasks.
- Are interested in leveraging efficient training methodologies like Unsloth for faster iteration cycles.
- Need a model under an Apache-2.0 license for flexible deployment.