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MediQwen-Reasoning-4B
justinj92/MediQwen-Reasoning-4B
MediQwen-Reasoning-4B is a text generation model from justinj92. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
- Developed by: justinj92 - License: apache-2.0 - Finetuned from model : unsloth/Qwen3-4B-Instruct-2507 - GPU : AMD MI300x - EPOCH : 2 - Training Time : 3 Days
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4B
16.1 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Dec 3, 2025
- Updated
- Dec 5, 2025
- SHA
- 4fcab89a
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Base models
Model card
From the Hugging Face model README
- Developed by: justinj92
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3-4B-Instruct-2507
- GPU : AMD MI300x
- EPOCH : 2
- Training Time : 3 Days
Dataset Mix
- Reasoning - II-Medical-Reasoning at 70%
- Non-Reasoning - Mediflow at 30%
| Benchmark | MediQwen-Reasoning-4B | Qwen3-4B-Instruct-2507 | Δ |
|---|---|---|---|
| MedQA | 55.85% (711/1273) | 12.73% (162/1273) | +43.12% |
| MedMCQA | 54.29% (2271/4183) | 53.50% (2238/4183) | +0.79% |
| PubMedQA | 71.90% (719/1000) | 60.00% (600/1000) | +11.90% |
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- apache-2.0
- Languages
- en
- Created
- Dec 3, 2025
- Updated
- Dec 5, 2025