File size: 1,517 Bytes
e95b09b 42fb7b2 e95b09b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
---
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
```
|