File size: 2,391 Bytes
2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 78e16af 2b21841 |
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 57 58 59 60 61 62 63 64 65 66 67 68 |
---
base_model:
- arcee-ai/Virtuoso-Small
- CultriX/Qwen2.5-14B-Wernicke
- CultriX/SeQwence-14B-EvolMerge
- Qwen/Qwen2.5-14B-Instruct
- v000000/Qwen2.5-Lumen-14B
- CultriX/SeQwence-14Bv1
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [arcee-ai/Virtuoso-Small](https://huggingface.co/arcee-ai/Virtuoso-Small)
* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)
* [CultriX/SeQwence-14B-EvolMerge](https://huggingface.co/CultriX/SeQwence-14B-EvolMerge)
* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
* [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: CultriX/Qwen2.5-14B-Wernicke
parameters:
weight: 0.318 # Strong performance in GPQA, MMLU-PRO
density: 0.6 # Retain 60% of significant parameters
- model: arcee-ai/Virtuoso-Small
parameters:
weight: 0.273 # Exceptional IFEval and MATH Level 5 capabilities
density: 0.6 # Retain 60% of significant parameters
- model: CultriX/SeQwence-14B-EvolMerge
parameters:
weight: 0.182 # MUSR and balanced contributions to Truthful QA and MMLU
density: 0.5 # Retain 50% of significant parameters
- model: CultriX/SeQwence-14Bv1
parameters:
weight: 0.136 # Provides diverse data and generalization
density: 0.4 # Retain 40% of significant parameters
- model: v000000/Qwen2.5-Lumen-14B
parameters:
weight: 0.091 # Enhances creative and narrative tasks
density: 0.5 # Retain 50% for task diversity
base_model: Qwen/Qwen2.5-14B-Instruct
merge_method: task_arithmetic
parameters:
normalize: true # Ensures parameter scaling compatibility
int8_mask: true # Optimizes memory and computational efficiency
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct
```
|