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README
License: apache-2.0Results
Benchmark performance compared with the original base model is shown below.
MathInstruct v1 demonstrates improvements across mathematical evaluation tasks and stronger instruction-following behavior.
Training
MathInstruct v1 was trained using supervised fine-tuning (SFT) on the NVIDIA OpenMath dataset.
The model was trained for 0.1 epoch to adapt the base model toward stronger mathematical instruction following and solution generation while preserving its original capabilities.
Training setup:
- Supervised fine-tuning (SFT)
- Dataset: NVIDIA OpenMath
- Training duration: 0.1 epoch
- No manual filtering or removal of noisy samples
- Original dataset distribution preserved
- Minimal preprocessing for training compatibility
Limitations
The model may still generate incorrect reasoning or inaccurate answers. Verify outputs before using them in important scenarios.
Model provider
kaushik-harsh-99
Model tree
Base
Qwen/Qwen3-0.6B
Fine-tuned
this model
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