---
base_model:
- mistralai/Mistral-Nemo-Base-2407
- mistralai/Mistral-Large-Instruct-2407
- mistralai/Codestral-22B-v0.1
- mistralai/Mathstral-7B-v0.1
- nvidia/Mistral-NeMo-Minitron-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge

---
# merge

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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407)
* [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407)
* [mistralai/Codestral-22B-v0.1](https://huggingface.co/mistralai/Codestral-22B-v0.1)
* [mistralai/Mathstral-7B-v0.1](https://huggingface.co/mistralai/Mathstral-7B-v0.1)
* [nvidia/Mistral-NeMo-Minitron-8B-Instruct](https://huggingface.co/nvidia/Mistral-NeMo-Minitron-8B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: float16
merge_method: passthrough
slices:
- sources:
  - layer_range: [16, 32]
    model: mistralai/Mistral-Large-Instruct-2407
- sources:
  - layer_range: [20, 32]
    model: nvidia/Mistral-NeMo-Minitron-8B-Instruct
- sources:
  - layer_range: [24, 32]
    model: mistralai/Mistral-Nemo-Base-2407
- sources:
  - layer_range: [28, 32]
    model: mistralai/Codestral-22B-v0.1
- sources:
  - layer_range: [32, 32]
    model: mistralai/Mathstral-7B-v0.1

```