File size: 5,819 Bytes
65998d5 2b0c5c3 65998d5 ed9e4bd 9b7ea71 236cb48 2b0c5c3 65998d5 a9627bb 65998d5 6802394 65998d5 ed9e4bd 65998d5 8ee5b21 65998d5 2b0c5c3 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 |
---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- mistralai/Mistral-7B-v0.1
- SanjiWatsuki/Kunoichi-DPO-v2-7B
- maywell/PiVoT-0.1-Evil-a
- mlabonne/ArchBeagle-7B
- LakoMoor/Silicon-Alice-7B
- roleplay
- rp
- not-for-all-audiences
base_model:
- mistralai/Mistral-7B-v0.1
- SanjiWatsuki/Kunoichi-DPO-v2-7B
- maywell/PiVoT-0.1-Evil-a
- mlabonne/ArchBeagle-7B
- LakoMoor/Silicon-Alice-7B
model-index:
- name: Konstanta-Alpha-V2-7B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 69.62
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-Alpha-V2-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 87.14
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-Alpha-V2-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 65.11
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-Alpha-V2-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 61.08
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-Alpha-V2-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 81.22
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-Alpha-V2-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 69.9
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-Alpha-V2-7B
name: Open LLM Leaderboard
---
# Konstanta-Alpha-V2-7B
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 TIES to merge Kunoichi with PiVoT Evil and to merge ArchBeagle with Silicon Alice, and then merge the resulting 2 models with the gradient SLERP merge method. ChatML seems to work the best.
### Models Merged
The following models were included in the merge:
* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co./SanjiWatsuki/Kunoichi-DPO-v2-7B)
* [maywell/PiVoT-0.1-Evil-a](https://huggingface.co./maywell/PiVoT-0.1-Evil-a)
* [mlabonne/ArchBeagle-7B](https://huggingface.co./mlabonne/ArchBeagle-7B)
* [LakoMoor/Silicon-Alice-7B](https://huggingface.co./LakoMoor/Silicon-Alice-7B)
### Configuration
The following YAML configuration was used to produce this model (to reproduce use mergekit-mega command):
```yaml
base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: dare_ties
parameters:
int8_mask: true
slices:
- sources:
- layer_range: [0, 32]
model: mistralai/Mistral-7B-v0.1
- layer_range: [0, 32]
model: : SanjiWatsuki/Kunoichi-DPO-v2-7B
parameters:
density: 0.8
weight: 0.5
- layer_range: [0, 32]
model: : maywell/PiVoT-0.1-Evil-a
parameters:
density: 0.3
weight: 0.15
name: first-step
---
base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: dare_ties
parameters:
int8_mask: true
slices:
- sources:
- layer_range: [0, 32]
model: mistralai/Mistral-7B-v0.1
- layer_range: [0, 32]
model: mlabonne/ArchBeagle-7B
parameters:
density: 0.8
weight: 0.75
- layer_range: [0, 32]
model: LakoMoor/Silicon-Alice-7B
parameters:
density: 0.6
weight: 0.30
name: second-step
---
models:
- model: first-step
- model: second-step
merge_method: slerp
base_model: first-step
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
int8_mask: true
normalize: true
dtype: float16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_Inv__Konstanta-Alpha-V2-7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |72.35|
|AI2 Reasoning Challenge (25-Shot)|69.62|
|HellaSwag (10-Shot) |87.14|
|MMLU (5-Shot) |65.11|
|TruthfulQA (0-shot) |61.08|
|Winogrande (5-shot) |81.22|
|GSM8k (5-shot) |69.90|
|