---
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

```