---
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
- mistralai/Mistral-7B-v0.1
- Nondzu/Mistral-7B-codealpaca-lora
- TIGER-Lab/MAmmoTH2-7B
library_name: transformers
tags:
- mergekit
- merge

---
# task-wise-crossentropy

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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [Nondzu/Mistral-7B-codealpaca-lora](https://huggingface.co/Nondzu/Mistral-7B-codealpaca-lora)
* [TIGER-Lab/MAmmoTH2-7B](https://huggingface.co/TIGER-Lab/MAmmoTH2-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
# task-wise LLM-AdaMerge with cross-entropy loss
base_model: mistralai/Mistral-7B-v0.1
models:
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      weight: 0.10558585822582245
  - model: TIGER-Lab/MAmmoTH2-7B
    parameters:
      weight: 0.45740658044815063
  - model: Nondzu/Mistral-7B-codealpaca-lora
    parameters:
      weight: 0.5316656231880188
merge_method: task_arithmetic
parameters:
  normalize: false
  lambda: 1.0
dtype: float16
tokenizer:
  source: union

```