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---
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
```
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