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base_model:
- allenai/Olmo-3.1-7B-RL-Zero-Math
- allenai/Olmo-3-1025-7B
library_name: transformers
tags:
- mergekit
- merge
---
# merged-model
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [allenai/Olmo-3-1025-7B](https://huggingface.co/allenai/Olmo-3-1025-7B) as a base.
### Models Merged
The following models were included in the merge:
* [allenai/Olmo-3.1-7B-RL-Zero-Math](https://huggingface.co/allenai/Olmo-3.1-7B-RL-Zero-Math)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# Magnitude pruning on OLMo-3.1-7B-RL-Zero-Math task vector
#
# Logic:
# 1. Compute task vector: delta = finetuned - base
# 2. Keep top 50% of delta by absolute magnitude, zero the rest
# 3. Output = base + pruned_delta
#
# Usage:
# modal run modal_merge.py --config examples/olmo-math-magnitude-prune.yaml --hf-repo pmahdavi/Olmo-3.1-7B-Math-Pruned-50
merge_method: ties
base_model: allenai/Olmo-3-1025-7B
models:
- model: allenai/Olmo-3.1-7B-RL-Zero-Math
parameters:
weight: 1.0
density: 0.5 # Keep top 50% by magnitude
parameters:
normalize: false # Don't normalize (single model, no effect anyway)
dtype: bfloat16
```
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