SAXON-0-I / README.md
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---
base_model:
- brianmatzelle/llama3.1-8b-instruct-political-subreddits
- EryriLabs/DeepSeek-R1-Distill-Llama-UK-Legislation-8B
- charlieduzstuf/SAXON-0
library_name: transformers
tags:
- mergekit
- merge
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64de406ce437d02ce69630b5/voK3ki1j_1EGQeYxc1jAa.png)
# SAXON 0 I
This is an iteration of the SAXON 0 model, I am attempting to minimise the amount of finetuning I need to do by using [mergekit](https://github.com/cg123/mergekit) to let SAXON 0 absorb models trained on Politics and specifically UK Laws etc, since I want the model to be good a those.
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [charlieduzstuf/SAXON-0](https://huggingface.co/charlieduzstuf/SAXON-0) as a base.
### Models Merged
The following models were included in the merge:
* [Llama 3.1 Politics (Dataset scraped from Reddit)](https://huggingface.co/brianmatzelle/llama3.1-8b-instruct-political-subreddits)
* [Deepkseek R1 Llama Distill UK Legislation Expert](https://huggingface.co/EryriLabs/DeepSeek-R1-Distill-Llama-UK-Legislation-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: charlieduzstuf/SAXON-0
#no parameters necessary for base model
- model: EryriLabs/DeepSeek-R1-Distill-Llama-UK-Legislation-8B
parameters:
density: 0.5
weight: 0.5
- model: brianmatzelle/llama3.1-8b-instruct-political-subreddits
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: charlieduzstuf/SAXON-0
parameters:
normalize: false
int8_mask: true
dtype: float16
```