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---
license: apache-2.0
tags:
- merge
- mergekit
- mlabonne/AlphaMonarch-7B
- mlabonne/NeuralMonarch-7B
- bardsai/jaskier-7b-dpo-v5.6
model-index:
- name: neurotic-crown-clown-7b-ties
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: 72.35
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
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: 88.61
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
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: 64.77
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
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: 76.5
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
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: 84.69
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
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: 71.34
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
name: Open LLM Leaderboard
---
# neurotic-crown-clown-7B-ties
neurotic-crown-clown-7B-ties is a TRIM, ELECT SIGN & MERGE (TIES) merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
See the paper [TIES-Merging: Resolving Interference When Merging Models](https://arxiv.org/abs/2306.01708) for more on the method.
## 🧩 Configuration
```yaml
models:
- model: mlabonne/NeuralMonarch-7B
# no parameters necessary for base model
- model: mlabonne/AlphaMonarch-7B
parameters:
density: 0.5
weight: 0.5
- model: bardsai/jaskier-7b-dpo-v5.6
parameters:
density: 0.5
weight: 0.3
merge_method: ties
base_model: mlabonne/NeuralMonarch-7B
parameters:
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_CorticalStack__neurotic-crown-clown-7b-ties)
| Metric |Value|
|---------------------------------|----:|
|Avg. |76.38|
|AI2 Reasoning Challenge (25-Shot)|72.35|
|HellaSwag (10-Shot) |88.61|
|MMLU (5-Shot) |64.77|
|TruthfulQA (0-shot) |76.50|
|Winogrande (5-shot) |84.69|
|GSM8k (5-shot) |71.34|
|