File size: 1,498 Bytes
e61ca94 0ce348e e61ca94 0ce348e e61ca94 |
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:
- Qwen/Qwen2.5-14B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
- arcee-ai/Virtuoso-Small-v2
- Qwen/Qwen2.5-14B-Instruct
library_name: transformers
tags:
- mergekit
- merge
---
# CoderO1-DeepSeekR1-14B-Preview (Not limited to coding, it is just a name)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This is based on the work of [FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Instruct-32B-Preview](https://huggingface.co/FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Instruct-32B-Preview).
## Merge Details
### Merge Method
This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) as a base.
### Models Merged
The following models were included in the merge:
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B)
* [arcee-ai/Virtuoso-Small-v2](https://huggingface.co/arcee-ai/Virtuoso-Small-v2)
* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
# Pivot model
- model: Qwen/Qwen2.5-14B
# Target models
- model: Qwen/Qwen2.5-14B-Instruct
- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
- model: arcee-ai/Virtuoso-Small-v2
merge_method: sce
base_model: Qwen/Qwen2.5-14B
tokenizer:
source: union
parameters:
select_topk: 1.0
dtype: bfloat16
```
|