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Adding Evaluation Results (#1)
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---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- saishf/SOVLish-Maid-L3-8B
- saishf/Ortho-SOVL-8B-L3
- saishf/Merge-Mayhem-L3-V2
- saishf/Merge-Mayhem-L3-V2.1
model-index:
- name: SOVL-Mega-Mash-L3-8B
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: 62.03
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVL-Mega-Mash-L3-8B
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: 79.68
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVL-Mega-Mash-L3-8B
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: 67.64
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVL-Mega-Mash-L3-8B
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: 51.84
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVL-Mega-Mash-L3-8B
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: 76.16
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVL-Mega-Mash-L3-8B
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: 67.25
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVL-Mega-Mash-L3-8B
name: Open LLM Leaderboard
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
This model is a merge of all of my SOVL models, in the hopes to create the most unhinged and wild model possible.
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [saishf/Ortho-SOVL-8B-L3](https://huggingface.co/saishf/Ortho-SOVL-8B-L3) as a base.
### Models Merged
The following models were included in the merge:
* [saishf/SOVLish-Maid-L3-8B](https://huggingface.co/saishf/SOVLish-Maid-L3-8B)
* [saishf/Merge-Mayhem-L3-V2](https://huggingface.co/saishf/Merge-Mayhem-L3-V2)
* [saishf/Merge-Mayhem-L3-V2.1](https://huggingface.co/saishf/Merge-Mayhem-L3-V2.1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: saishf/Ortho-SOVL-8B-L3
- model: saishf/Merge-Mayhem-L3-V2
- model: saishf/Merge-Mayhem-L3-V2.1
- model: saishf/SOVLish-Maid-L3-8B
merge_method: model_stock
base_model: saishf/Ortho-SOVL-8B-L3
dtype: bfloat16
```
# [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_saishf__SOVL-Mega-Mash-L3-8B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |67.43|
|AI2 Reasoning Challenge (25-Shot)|62.03|
|HellaSwag (10-Shot) |79.68|
|MMLU (5-Shot) |67.64|
|TruthfulQA (0-shot) |51.84|
|Winogrande (5-shot) |76.16|
|GSM8k (5-shot) |67.25|