File size: 3,022 Bytes
02c6491 |
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 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
---
base_model:
- djuna/Q2.5-Veltha-14B-0.5
- CultriX/Qwen2.5-14B-Brocav7
- CultriX/SeQwence-14Bv1
- CultriX/Qwen2.5-14B-Broca
- qingy2019/Qwen2.5-Math-14B-Instruct
- CultriX/Qwen2.5-14B-Wernickev3
- CultriX/Qwen2.5-14B-Brocav3
- allknowingroger/QwenSlerp6-14B
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/Qwen2.5-14B-Wernickev3](https://huggingface.co/CultriX/Qwen2.5-14B-Wernickev3) as a base.
### Models Merged
The following models were included in the merge:
* [djuna/Q2.5-Veltha-14B-0.5](https://huggingface.co/djuna/Q2.5-Veltha-14B-0.5)
* [CultriX/Qwen2.5-14B-Brocav7](https://huggingface.co/CultriX/Qwen2.5-14B-Brocav7)
* [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1)
* [CultriX/Qwen2.5-14B-Broca](https://huggingface.co/CultriX/Qwen2.5-14B-Broca)
* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
* [CultriX/Qwen2.5-14B-Brocav3](https://huggingface.co/CultriX/Qwen2.5-14B-Brocav3)
* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: dare_ties
base_model: CultriX/Qwen2.5-14B-Wernickev3
dtype: bfloat16
parameters:
epsilon: 0.0075
lambda: 2.1
normalize: true
adaptive_merge_parameters:
task_weights:
tinyArc: 2.1
tinyHellaswag: 1.9
tinyMMLU: 2.1
tinyTruthfulQA: 2.5
tinyTruthfulQA_mc1: 2.4
tinyWinogrande: 2.4
IFEval: 2.4
BBH: 2.3
MATH: 2.6
GPQA: 2.4
MUSR: 2.5
MMLU-PRO: 2.2
smoothing_factor: 0.05
gradient_clipping:
CultriX/Qwen2.5-14B-Wernickev3: 0.82
djuna/Q2.5-Veltha-14B-0.5: 0.84
qingy2019/Qwen2.5-Math-14B-Instruct: 0.87
CultriX/SeQwence-14Bv1: 0.8
CultriX/Qwen2.5-14B-Broca: 0.85
CultriX/Qwen2.5-14B-Brocav3: 0.83
CultriX/Qwen2.5-14B-Brocav7: 0.84
allknowingroger/QwenSlerp6-14B: 0.8
models:
- model: CultriX/Qwen2.5-14B-Wernickev3
parameters:
weight: 0.21
density: 0.78
- model: djuna/Q2.5-Veltha-14B-0.5
parameters:
weight: 0.2
density: 0.76
- model: qingy2019/Qwen2.5-Math-14B-Instruct
parameters:
weight: 0.18
density: 0.75
- model: CultriX/SeQwence-14Bv1
parameters:
weight: 0.17
density: 0.74
- model: CultriX/Qwen2.5-14B-Broca
parameters:
weight: 0.17
density: 0.74
- model: CultriX/Qwen2.5-14B-Brocav3
parameters:
weight: 0.15
density: 0.73
- model: CultriX/Qwen2.5-14B-Brocav7
parameters:
weight: 0.14
density: 0.72
- model: allknowingroger/QwenSlerp6-14B
parameters:
weight: 0.13
density: 0.72
tokenizer_source: CultriX/Qwen2.5-14B-Wernickev3
```
|