---
base_model:
- NousResearch/Nous-Hermes-2-SOLAR-10.7B
- BlueNipples/SnowLotus-v2-10.7B
tags:
- mergekit
- merge
- solar
license: apache-2.0
language:
- en
pipeline_tag: text-generation
---
These are GGUF quants for https://huggingface.co/saishf/Nous-Lotus-10.7B
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
This model is a slerp between SnowLotus-v2 & Nous-Hermes-2-SOLAR, I found snowlotus was awesome to talk to but lacked when prompting with out-there characters. Nous Hermes seemed to handle those characters a lot better, so i decided to merge the two.

This is my first merge so it could perform badly or may not even work
### Extra Info
Both models are solar based so context should be 4096

SnowLotus uses Alpaca

Nous Hermes uses ChatML

Both seem to work but i don't exactly know which performs better
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)
* [BlueNipples/SnowLotus-v2-10.7B](https://huggingface.co/BlueNipples/SnowLotus-v2-10.7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: BlueNipples/SnowLotus-v2-10.7B
        layer_range: [0, 48]
      - model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
        layer_range: [0, 48]
merge_method: slerp
base_model: BlueNipples/SnowLotus-v2-10.7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

```