HillPhelmuth/Qwen3-4B-GRPO-MathsFT
HillPhelmuth/Qwen3-4B-GRPO-MathsFT is a 2 billion parameter Qwen3 model developed by HillPhelmuth, fine-tuned from unsloth/Qwen3-1.7B-Base. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. Its primary differentiator and strength are not explicitly detailed in the provided README, but its Qwen3 base suggests general language understanding capabilities.
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Model Overview
This model, developed by HillPhelmuth, is a Qwen3-based language model with 2 billion parameters, fine-tuned from the unsloth/Qwen3-1.7B-Base architecture. It was trained using a combination of Unsloth and Huggingface's TRL library, which facilitated a 2x speedup in the training process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-1.7B-Base. - Training Efficiency: Leverages Unsloth and Huggingface TRL for accelerated training.
- License: Distributed under the Apache-2.0 license.
Use Cases
While the specific primary use case or unique capabilities beyond its training methodology are not detailed in the provided information, its foundation on the Qwen3 architecture suggests suitability for general language tasks. Developers interested in models optimized for training speed and built upon the Qwen3 family may find this model particularly relevant.