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Model: locailabs/gemma-3-1b-it-sft-metamathqa-modelmerge
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model:
+  - google/gemma-3-1b-it
+tags:
+  - gemma3
+  - math
+  - merged
+license: gemma
+---
+
+# Gemma 3 1B IT — MetaMathQA Merged (α=0.5)
+
+A merged model created by interpolating the weights of a MetaMathQA-finetuned Gemma 3 1B IT with the original base model.
+
+## Method
+
+1. **Fine-tune** `google/gemma-3-1b-it` on 7,000 samples from [MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) using SFT.
+2. **Merge** the fine-tuned weights back into the base model via linear interpolation with α=0.5:
+
+$$\theta_{\text{merged}} = \alpha \cdot \theta_{\text{FT}} + (1 - \alpha) \cdot \theta_{\text{base}}$$
+
+This simple averaging actually improves task-specific gain from fine-tuning while retaining more of the base model's instruction following that pure FT degrades.
+
+## Results
+
+| Method | MMLU Redux | GSM8K | IFEval |
+|---|---|---|---|
+| Base | 39.79 | 33.66 | **40.48** |
+| FT | **41.02** | 37.15 | 28.84 |
+| **Merged** | 40.53 | **39.58** | 36.41 |