license, tags, model-index
| license |
tags |
model-index |
| cc-by-nc-4.0 |
|
| name |
results |
| Brunhilde-2x7b-MOE-DPO-v.01.5 |
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| AI2 Reasoning Challenge (25-Shot) |
ai2_arc |
ARC-Challenge |
test |
|
|
| type |
value |
name |
| acc_norm |
69.54 |
normalized accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
split |
args |
| HellaSwag (10-Shot) |
hellaswag |
validation |
|
|
| type |
value |
name |
| acc_norm |
87.02 |
normalized accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| MMLU (5-Shot) |
cais/mmlu |
all |
test |
|
|
| type |
value |
name |
| acc |
64.93 |
accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| TruthfulQA (0-shot) |
truthful_qa |
multiple_choice |
validation |
|
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| Winogrande (5-shot) |
winogrande |
winogrande_xl |
validation |
|
|
| type |
value |
name |
| acc |
80.9 |
accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| GSM8k (5-shot) |
gsm8k |
main |
test |
|
|
| type |
value |
name |
| acc |
63.0 |
accuracy |
|
|
|
|
|
|
|
Brunhilde-2x7b-MOE-DPO-v.01.5
Brunhilde-2x7b-MOE-DPO-v.01.5 is a Mixure of Experts (MoE).
Usage
Detailed results can be found here
| Metric |
Value |
| Avg. |
71.81 |
| AI2 Reasoning Challenge (25-Shot) |
69.54 |
| HellaSwag (10-Shot) |
87.02 |
| MMLU (5-Shot) |
64.93 |
| TruthfulQA (0-shot) |
65.47 |
| Winogrande (5-shot) |
80.90 |
| GSM8k (5-shot) |
63.00 |