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---
language:
- en
license: cc-by-4.0
library_name: transformers
tags:
- mergekit
- merge
- mistral
- text-generation
- roleplay
base_model:
- SanjiWatsuki/Silicon-Maid-7B
- MTSAIR/multi_verse_model
- SanjiWatsuki/Kunoichi-7B
- KatyTheCutie/LemonadeRP-4.5.3
model-index:
- name: Smart-Lemon-Cookie-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: 66.3
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-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: 85.53
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-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: 64.69
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-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: 60.66
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-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: 77.74
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-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: 54.06
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B
name: Open LLM Leaderboard
---
*image courtesy of [@matchaaaaa](https://huggingface.co/matchaaaaa)*
</br>
</br>
# Smart-Lemon-Cookie-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
GGUF quants:
* https://huggingface.co/FaradayDotDev/Smart-Lemon-Cookie-7B-GGUF
* https://huggingface.co/mradermacher/Smart-Lemon-Cookie-7B-GGUF
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model) as a base.
### Models Merged
The following models were included in the merge:
* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
* [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)
* [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: SanjiWatsuki/Silicon-Maid-7B
parameters:
density: 1.0
weight: 1.0
- model: SanjiWatsuki/Kunoichi-7B
parameters:
density: 0.4
weight: 1.0
- model: KatyTheCutie/LemonadeRP-4.5.3
parameters:
density: 0.6
weight: 1.0
merge_method: ties
base_model: MTSAIR/multi_verse_model
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_FallenMerick__Smart-Lemon-Cookie-7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |68.16|
|AI2 Reasoning Challenge (25-Shot)|66.30|
|HellaSwag (10-Shot) |85.53|
|MMLU (5-Shot) |64.69|
|TruthfulQA (0-shot) |60.66|
|Winogrande (5-shot) |77.74|
|GSM8k (5-shot) |54.06|
|