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---
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
``` |