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---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- saishf/Ortho-SOVL-8B-L3
- saishf/SOVLish-Maid-L3-8B
- saishf/Merge-Mayhem-L3-V2.1
- saishf/Merge-Mayhem-L3-V2
model-index:
- name: Llama4Some-SOVL-4x8B-L3-V1
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: 61.95
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1
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: 79.38
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1
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: 65.49
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1
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: 51.48
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1
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: 75.69
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1
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: 66.57
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1
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. But in Mixtral fashion!
It may be insane, it may be incoherent. I can't load it :3
### Merge Method
This model was merged using the [Mixture Of Experts](https://arxiv.org/abs/2401.04088) method.
### Models Merged
The following models were included in the merge:
* [saishf/Ortho-SOVL-8B-L3](https://huggingface.co/saishf/Ortho-SOVL-8B-L3)
* [saishf/SOVLish-Maid-L3-8B](https://huggingface.co/saishf/SOVLish-Maid-L3-8B)
* [saishf/Merge-Mayhem-L3-V2.1](https://huggingface.co/saishf/Merge-Mayhem-L3-V2.1)
* [saishf/Merge-Mayhem-L3-V2](https://huggingface.co/saishf/Merge-Mayhem-L3-V2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: saishf/Ortho-SOVL-8B-L3
gate_mode: random
dtype: bfloat16
experts:
- source_model: saishf/Ortho-SOVL-8B-L3
- source_model: saishf/SOVLish-Maid-L3-8B
- source_model: saishf/Merge-Mayhem-L3-V2.1
- source_model: saishf/Merge-Mayhem-L3-V2
```
# [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__Llama4Some-SOVL-4x8B-L3-V1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |66.76|
|AI2 Reasoning Challenge (25-Shot)|61.95|
|HellaSwag (10-Shot) |79.38|
|MMLU (5-Shot) |65.49|
|TruthfulQA (0-shot) |51.48|
|Winogrande (5-shot) |75.69|
|GSM8k (5-shot) |66.57|
|