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MediQwen-Reasoning-4B – AI Model by justinj92 | AlphaNeural AI
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justinj92
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MediQwen-Reasoning-4B
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transformers
safetensors
qwen3
text-generation
text-generation-inference
unsloth
medical
conversational
en
justinj92/Medical-SFT
Intelligent-Internet/II-Medical-Reasoning-SFT
microsoft/mediflow
unsloth/Qwen3-4B-Instruct-2507
finetune
apache-2.0
endpoints_compatible
us
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Developed by:
justinj92
License:
apache-2.0
Finetuned from model :
unsloth/Qwen3-4B-Instruct-2507
GPU :
AMD MI300x
EPOCH :
2
Training Time :
3 Days
WandB
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.
