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---
license: mit
library_name: transformers
tags:
- mergekit
- merge
base_model:
- BarraHome/Mistroll-7B-v2.2
- ClaudioItaly/Evolutionstory
model-index:
- name: Evolutionstory-7B-v2.2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 48.14
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/Evolutionstory-7B-v2.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 31.62
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/Evolutionstory-7B-v2.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 6.42
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/Evolutionstory-7B-v2.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 3.36
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/Evolutionstory-7B-v2.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 10.66
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/Evolutionstory-7B-v2.2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 23.99
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/Evolutionstory-7B-v2.2
name: Open LLM Leaderboard
---
# merge
I finally think I managed to make a model with high writing skills. Based on the prompt it manages to be very coherent with the story.
It also has great RAG capabilities.
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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [BarraHome/Mistroll-7B-v2.2](https://huggingface.co/BarraHome/Mistroll-7B-v2.2)
* [ClaudioItaly/Evolutionstory](https://huggingface.co/ClaudioItaly/Evolutionstory)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: BarraHome/Mistroll-7B-v2.2
- model: ClaudioItaly/Evolutionstory
merge_method: slerp
base_model: ClaudioItaly/Evolutionstory
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ClaudioItaly__Evolutionstory-7B-v2.2)
| Metric |Value|
|-------------------|----:|
|Avg. |20.70|
|IFEval (0-Shot) |48.14|
|BBH (3-Shot) |31.62|
|MATH Lvl 5 (4-Shot)| 6.42|
|GPQA (0-shot) | 3.36|
|MuSR (0-shot) |10.66|
|MMLU-PRO (5-shot) |23.99|
|