README.md

---
base_model:
- grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
- lucyknada/microsoft_WizardLM-2-7B
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
pipeline_tag: text-generation
---
# wizard-elem-to-32k-7B

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

In theory, context length has been extended to 32K tokens. In practice? Degradation above 8K context length.

Tested with ChatML instruct prompts, temperature 1.0, and minP 0.01, but feel free to experiment.

## Merge Details
### Merge Method

This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B](https://huggingface.co./grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B) as a base.

### Models Merged

The following models were included in the merge:
* [grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B](https://huggingface.co./grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B)
* [lucyknada/microsoft_WizardLM-2-7B](https://huggingface.co./lucyknada/microsoft_WizardLM-2-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
  - layer_range: [0, 32]
    model: lucyknada/microsoft_WizardLM-2-7B
    parameters:
      weight: 1.00

```