File size: 5,057 Bytes
1f76eeb ffc620e 1f76eeb 327b905 6eaa67f 327b905 ffc620e 6eaa67f ffc620e 1f76eeb 10e15d6 6eaa67f 027e2fd 10e15d6 043d4ec f60758c 1069abb 1f76eeb f60758c 1f76eeb 327b905 1f76eeb 327b905 1f76eeb aaaacf5 ffc620e |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 |
---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- qwen2
- qwen2.5
- dpo
base_model:
- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
- Qwen/Qwen2.5-14B-Instruct
datasets:
- jondurbin/gutenberg-dpo-v0.1
model-index:
- name: Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 48.55
name: strict accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 49.74
name: normalized accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 19.71
name: exact match
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 15.21
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 18.43
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 48.68
name: accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
name: Open LLM Leaderboard
---
# Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
--------------------------------------------------------------------------
## GGUF from mradermacher!
* [GGUF static](https://huggingface.co./mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF)
* [GGUF Imatrix](https://huggingface.co./mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-i1-GGUF)
## GGUF from QuantFactory!
* [GGUF static](https://huggingface.co./QuantFactory/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF)
# 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 SLERP merge method. (*sophosympatheia gradient*)
### Models Merged
The following models were included in the merge:
* [v000000/Qwen2.5-14B-Gutenberg-1e-Delta](https://huggingface.co./v000000/Qwen2.5-14B-Gutenberg-1e-Delta)
* [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:
- model: Qwen/Qwen2.5-14B-Instruct
merge_method: slerp
base_model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
parameters:
t:
- value: [0, 0, 0.3, 0.4, 0.5, 0.6, 0.5, 0.4, 0.3, 0, 0]
dtype: bfloat16
```
*The idea here is that Gutenberg DPO stays in the output/input 100% while merging smoothly with the base instruct model in the deeper layers to heal loss and increase intelligence.*
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_v000000__Qwen2.5-14B-Gutenberg-Instruct-Slerpeno)
| Metric |Value|
|-------------------|----:|
|Avg. |33.39|
|IFEval (0-Shot) |48.55|
|BBH (3-Shot) |49.74|
|MATH Lvl 5 (4-Shot)|19.71|
|GPQA (0-shot) |15.21|
|MuSR (0-shot) |18.43|
|MMLU-PRO (5-shot) |48.68|
|