README.md

---
base_model:
- codellama/CodeLlama-7b-hf
- MrezaPRZ/CodeLlama-7B-sqlite-expert
- MrezaPRZ/CodeLlama-7B-bigquery-expert
- MrezaPRZ/CodeLlama-7B-postgres-expert
library_name: transformers
tags:
- mergekit
- merge

---
# ties_experts

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 [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) as a base.

### Models Merged

The following models were included in the merge:
* [MrezaPRZ/CodeLlama-7B-sqlite-expert](https://huggingface.co/MrezaPRZ/CodeLlama-7B-sqlite-expert)
* [MrezaPRZ/CodeLlama-7B-bigquery-expert](https://huggingface.co/MrezaPRZ/CodeLlama-7B-bigquery-expert)
* [MrezaPRZ/CodeLlama-7B-postgres-expert](https://huggingface.co/MrezaPRZ/CodeLlama-7B-postgres-expert)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: MrezaPRZ/CodeLlama-7B-sqlite-expert
    parameters:
      density: 0.5
      weight: 0.33
  - model: MrezaPRZ/CodeLlama-7B-bigquery-expert
    parameters:
      density: 0.5
      weight: 0.33
  - model: MrezaPRZ/CodeLlama-7B-postgres-expert
    parameters:
      density: 0.5
      weight: 0.33
merge_method: ties
base_model: codellama/CodeLlama-7b-hf
parameters:
  normalize: true
dtype: bfloat16
```