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---
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Test157t/Pasta-Sea-7b-128k
- Locutusque/Hercules-2.0-Mistral-7B
model-index:
- name: HerculeanSea-7b-128k
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: 66.21
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/HerculeanSea-7b-128k
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: 85.8
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/HerculeanSea-7b-128k
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: 64.28
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/HerculeanSea-7b-128k
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: 55.77
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/HerculeanSea-7b-128k
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: 80.74
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/HerculeanSea-7b-128k
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: 58.38
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/HerculeanSea-7b-128k
name: Open LLM Leaderboard
---
Thanks to bartowski we have /HerculeanSea-7b-128k-exl2 https://huggingface.co/bartowski/HerculeanSea-7b-128k-exl2
### Models Merged
The following models were included in the merge:
* [Test157t/Pasta-Sea-7b-128k](https://huggingface.co/Test157t/Pasta-Sea-7b-128k)
* [Locutusque/Hercules-2.0-Mistral-7B](https://huggingface.co/Locutusque/Hercules-2.0-Mistral-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Test157t/Pasta-Sea-7b-128k
layer_range: [0, 32]
- model: Locutusque/Hercules-2.0-Mistral-7B
layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Pasta-Sea-7b-128k
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
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_Test157t__HerculeanSea-7b-128k)
| Metric |Value|
|---------------------------------|----:|
|Avg. |68.53|
|AI2 Reasoning Challenge (25-Shot)|66.21|
|HellaSwag (10-Shot) |85.80|
|MMLU (5-Shot) |64.28|
|TruthfulQA (0-shot) |55.77|
|Winogrande (5-shot) |80.74|
|GSM8k (5-shot) |58.38|
|