---
base_model:
- Lambent/CosmoAlpacaLight-1b
- HuggingFaceTB/cosmo-1b
- Lambent/CosmoAlpacaLisa-1b
- Lambent/CosmoAlpacaLisa-0.2-1b
tags:
- mergekit
- merge

---
Figured the model must have learned the data a somewhat different way for all three training methods.
Decided to test if merging them would give generalization benefits. I think it didn't hurt at least!

|                                     Model                                     |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|-------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|[CosmoAlpacaLisa-0.3-1b](https://huggingface.co/Lambent/CosmoAlpacaLisa-0.3-1b)|  23.79|  51.61|     40.25|   29.97|  36.41|

|                                  Model                                  |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|-------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|[CosmoAlpacaLight-1b](https://huggingface.co/Lambent/CosmoAlpacaLight-1b)|  24.28|  51.31|     40.33|   29.47|  36.35|


# lisacosmo

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [HuggingFaceTB/cosmo-1b](https://huggingface.co/HuggingFaceTB/cosmo-1b) as a base.

### Models Merged

The following models were included in the merge:
* [Lambent/CosmoAlpacaLight-1b](https://huggingface.co/Lambent/CosmoAlpacaLight-1b)
* [Lambent/CosmoAlpacaLisa-1b](https://huggingface.co/Lambent/CosmoAlpacaLisa-1b)
* [Lambent/CosmoAlpacaLisa-0.2-1b](https://huggingface.co/Lambent/CosmoAlpacaLisa-0.2-1b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Lambent/CosmoAlpacaLisa-1b
    parameters:
      density: 1.0
      weight: 1.0
  - model: Lambent/CosmoAlpacaLisa-0.2-1b
    parameters:
      density: 1.0
      weight: 1.0
  - model: Lambent/CosmoAlpacaLight-1b
    parameters:
      density: 1.0
      weight: 1.0
merge_method: dare_ties
base_model: HuggingFaceTB/cosmo-1b
parameters:
  normalize: true
  int8_mask: false
dtype: float16

```