RealPirate786/qwen_finetune_16bit
RealPirate786/qwen_finetune_16bit is a 4 billion parameter Qwen3-based causal language model, fine-tuned by RealPirate786. This model was trained using Unsloth and Huggingface's TRL library, focusing on efficient fine-tuning. It is an SFT (Supervised Fine-Tuning) model, and its developer notes that a subsequent GRPO fine-tuned version is expected to offer improved performance.
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Model Overview
RealPirate786/qwen_finetune_16bit is a 4 billion parameter language model developed by RealPirate786. It is based on the Qwen3 architecture and was fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit.
Key Characteristics
- Base Model: Qwen3-4B-Instruct, indicating a foundation in instruction-following capabilities.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, enabling a 2x faster training process.
- SFT Model: This release is a Supervised Fine-Tuning (SFT) model. The developer notes that a subsequent GRPO (likely referring to a Reinforcement Learning from Human Feedback variant) fine-tuned model is anticipated to deliver better performance.
Intended Use
This model is suitable for tasks requiring a 4 billion parameter Qwen3-based language model that has undergone supervised fine-tuning. Users should be aware that as an SFT model, its performance may not be optimal for all use cases, and a future GRPO-tuned version is expected to offer enhancements.