jerrycheng233/model2_gspo_16bit
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Mar 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
jerrycheng233/model2_gspo_16bit is a Qwen3-based language model developed by jerrycheng233, finetuned from unsloth/Qwen3-4B. This model was trained significantly faster using Unsloth and Huggingface's TRL library. It is optimized for efficient training and deployment, making it suitable for applications requiring rapid iteration and resource-conscious fine-tuning.
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Overview
This model, developed by jerrycheng233, is a fine-tuned variant of the Qwen3 architecture, specifically based on the unsloth/Qwen3-4B model. Its primary distinction lies in its training methodology, leveraging the Unsloth library in conjunction with Huggingface's TRL library. This combination enabled a reported 2x faster training process.
Key Capabilities
- Efficient Fine-tuning: Benefits from Unsloth's optimizations for faster training times.
- Qwen3 Architecture: Inherits the foundational capabilities of the Qwen3 model family.
- Resource-Optimized: Designed for scenarios where rapid iteration and efficient use of computational resources during fine-tuning are critical.
Good For
- Developers looking to quickly fine-tune a Qwen3-based model.
- Projects requiring a balance between performance and training efficiency.
- Experimentation with different fine-tuning approaches using Unsloth and TRL.