arefehRajabian/Qwen3-4B-Base-english-math-grpo
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 6, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The arefehRajabian/Qwen3-4B-Base-english-math-grpo is a 4 billion parameter Qwen3-based language model, fine-tuned by arefehRajabian from unsloth/Qwen3-4B-Base. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for English and mathematical tasks, leveraging its Qwen3 architecture for general language understanding and generation.
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Overview
The arefehRajabian/Qwen3-4B-Base-english-math-grpo is a 4 billion parameter language model, fine-tuned by arefehRajabian. It is based on the Qwen3 architecture, specifically starting from the unsloth/Qwen3-4B-Base model. This model was developed with a focus on English language processing and mathematical reasoning capabilities.
Key Capabilities
- Qwen3 Architecture: Leverages the foundational strengths of the Qwen3 model family.
- Efficient Fine-tuning: Trained 2x faster using the Unsloth library and Huggingface's TRL library, indicating optimized training processes.
- English and Math Focus: Specifically fine-tuned for tasks involving English language and mathematical problem-solving.
Good For
- Applications requiring a compact yet capable language model for English text generation and comprehension.
- Use cases involving mathematical reasoning or problem-solving within a language model context.
- Developers looking for a Qwen3-based model that has undergone efficient fine-tuning.