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base_model:
- unsloth/DeepSeek-R1-Distill-Qwen-7B
- Qwen/Qwen2.5-Math-7B-Instruct
- nvidia/AceMath-7B-Instruct
library_name: transformers
tags:
- mergekit
- merge
---
# merged-model-ACE
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 [unsloth/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B) as a base.
### Models Merged
The following models were included in the merge:
* [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct)
* [nvidia/AceMath-7B-Instruct](https://huggingface.co/nvidia/AceMath-7B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# merge_ties.yml
# 1. Overall merge method: TIES (sign-elect sparse task arithmetic)
merge_method: ties
# 2. Base model (all task vectors are computed relative to this checkpoint)
base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B
# 3. Full models to merge (base first, then others)
models:
- model: unsloth/DeepSeek-R1-Distill-Qwen-7B # base has no extra params
- model: nvidia/AceMath-7B-Instruct
parameters:
weight: 0.7
density: 0.7
- model: Qwen/Qwen2.5-Math-7B-Instruct
parameters:
weight: 0.3
density: 0.7
# 4. Global merge parameters
parameters:
normalize: true # normalize weights across models
int8_mask: true # mask small values when using int8 backing
# 5. Data type for merged tensors
dtype: bfloat16
```
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