README.md

---
base_model:
- allenai/Olmo-3-1025-7B
- allenai/Olmo-3-7B-RL-Zero-Math
- allenai/Olmo-3-7B-RL-Zero-Code
- allenai/Olmo-3-7B-Think-SFT
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 [Task Arithmetic](https://arxiv.org/abs/2212.04089) 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-3-7B-RL-Zero-Math](https://huggingface.co/allenai/Olmo-3-7B-RL-Zero-Math)
* [allenai/Olmo-3-7B-RL-Zero-Code](https://huggingface.co/allenai/Olmo-3-7B-RL-Zero-Code)
* [allenai/Olmo-3-7B-Think-SFT](https://huggingface.co/allenai/Olmo-3-7B-Think-SFT)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
# Task arithmetic merge: Apply Math+Code task vectors to Think-SFT
#
# Mathematical formulation:
#   output = Think-SFT + 0.5*(RL-Zero-Math - base) + 0.5*(RL-Zero-Code - base)
#
# This is achieved by treating Think-SFT as a model with weight=1.0:
#   output = base + 1.0*(Think-SFT - base) + 0.5*(Math - base) + 0.5*(Code - base)
#
# Usage:
#   modal run modal_merge.py --config examples/olmo-think-math-code.yaml --hf-repo pmahdavi/Olmo-3-7B-Think-Math-Code

merge_method: task_arithmetic
base_model: allenai/Olmo-3-1025-7B
models:
  - model: allenai/Olmo-3-7B-Think-SFT
    parameters:
      weight: 1.0
  - model: allenai/Olmo-3-7B-RL-Zero-Math
    parameters:
      weight: 0.5
  - model: allenai/Olmo-3-7B-RL-Zero-Code
    parameters:
      weight: 0.5
dtype: bfloat16

```