File size: 1,631 Bytes
5dcc510 |
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 53 54 55 56 |
---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# Deepseek-EVA-DELLA-Merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
The intent is to make Deepseek R1 32B feel more like a "base model" like EVA-Gutenberg Qwen, adhering to an existing style when writing.
But consider this a quick A/B test between the new DELLA and SCE merging techniques. This is the DELLA merge, with a average density of 0.6 as found to be ideal for DARE in the SCE paper, but a higher epsilon to allow more density varaition: https://arxiv.org/abs/2408.07990
## Merge Details
### Merge Method
This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using /home/a/Models/Raw/Qwen_Qwen2.5-32B as a base.
### Models Merged
The following models were included in the merge:
* /home/a/Models/Raw/deepseek-ai_DeepSeek-R1-Distill-Qwen-32B
* /home/a/Models/Raw/nbeerbower_EVA-Gutenberg3-Qwen2.5-32B
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: /home/a/Models/Raw/Qwen_Qwen2.5-32B
# No parameters necessary for base model
- model: /home/a/Models/Raw/nbeerbower_EVA-Gutenberg3-Qwen2.5-32B
parameters:
weight: 0.5
density: 0.5
- model: /home/a/Models/Raw/deepseek-ai_DeepSeek-R1-Distill-Qwen-32B
parameters:
weight: 0.5
density: 0.7
merge_method: della
tokenizer:
source: "union"
base_model: /home/a/Models/Raw/Qwen_Qwen2.5-32B
chat_template: "deepseek"
parameters:
int8_mask: true
epsilon: 0.17
lambda: 1
dtype: bfloat16
```
|