README.md

---
base_model:
- mpasila/PIPPA-Named-7B
- Locutusque/SlimHercules-4.0-Mistral-7B-v0.2
- cognitivecomputations/dolphin-2.8-mistral-7b-v02
library_name: transformers
tags:
- mergekit
- merge

---
This is an ExLlamaV2 quantized model in 4bpw of [mpasila/SeaMax-7B](https://huggingface.co/mpasila/SeaMax-7B) using the default calibration dataset.

# Original Model card:

# SeaMax-7B

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 [mpasila/PIPPA-Named-7B](https://huggingface.co/mpasila/PIPPA-Named-7B) as a base.

### Models Merged

The following models were included in the merge:
* [Locutusque/SlimHercules-4.0-Mistral-7B-v0.2](https://huggingface.co/Locutusque/SlimHercules-4.0-Mistral-7B-v0.2)
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: Locutusque/SlimHercules-4.0-Mistral-7B-v0.2
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
merge_method: ties
base_model: mpasila/PIPPA-Named-7B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
```