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---
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- jeiku/NarrativeNexus_7B
- mlabonne/AlphaMonarch-7B
- CultriX/NeuralTrix-bf16
- jeiku/Cookie_7B
- jeiku/Luna_7B
model-index:
- name: This_is_fine_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: 70.31
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 87.28
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 64.51
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 65.79
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 81.61
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_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: 62.77
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
name: Open LLM Leaderboard
---
# Fine
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](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) as a base.
### Models Merged
The following models were included in the merge:
* [jeiku/NarrativeNexus_7B](https://huggingface.co/jeiku/NarrativeNexus_7B)
* [CultriX/NeuralTrix-bf16](https://huggingface.co/CultriX/NeuralTrix-bf16)
* [jeiku/Cookie_7B](https://huggingface.co/jeiku/Cookie_7B)
* [jeiku/Luna_7B](https://huggingface.co/jeiku/Luna_7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: dare_ties
base_model: mlabonne/AlphaMonarch-7B
parameters:
normalize: true
models:
- model: jeiku/Luna_7B
parameters:
weight: 0.75
- model: jeiku/Cookie_7B
parameters:
weight: 1
- model: jeiku/NarrativeNexus_7B
parameters:
weight: 0.5
- model: CultriX/NeuralTrix-bf16
parameters:
weight: 0.75
- model: mlabonne/AlphaMonarch-7B
parameters:
weight: 1
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_ChaoticNeutrals__This_is_fine_7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |72.05|
|AI2 Reasoning Challenge (25-Shot)|70.31|
|HellaSwag (10-Shot) |87.28|
|MMLU (5-Shot) |64.51|
|TruthfulQA (0-shot) |65.79|
|Winogrande (5-shot) |81.61|
|GSM8k (5-shot) |62.77|
|