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---
language:
- en
license: apache-2.0
tags:
- merge
model-index:
- name: v1olet_marcoroni-go-bruins-merge-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: 70.05
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-merge-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: 87.17
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-merge-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: 65.17
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-merge-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: 61.42
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-merge-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: 81.45
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-merge-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: 71.57
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-merge-7B
name: Open LLM Leaderboard
---
### 12th December 2023
We are ranked *6th* on the overall leaderboard and **1st** in the 7B leaderboard! 🔥🔥🔥
Merge AIDC-ai-business/Marcoroni-7B-v3 and rwitz/go-bruins-v2 using slerp merge from https://github.com/cg123/mergekit.
*config.yaml*
```
slices:
- sources:
- model: AIDC-ai-business/Marcoroni-7B-v3
layer_range: [0, 32]
- model: rwitz/go-bruins-v2
layer_range: [0, 32]
merge_method: slerp
base_model: AIDC-ai-business/Marcoroni-7B-v3
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
```
You can use alpaca template.
```
template_format = """{system}
### Instruction:
{prompt}
### Response:
"""
```
Developed by: Trong-Hieu Nguyen-Mau
# [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_v1olet__v1olet_marcoroni-go-bruins-merge-7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |72.81|
|AI2 Reasoning Challenge (25-Shot)|70.05|
|HellaSwag (10-Shot) |87.17|
|MMLU (5-Shot) |65.17|
|TruthfulQA (0-shot) |61.42|
|Winogrande (5-shot) |81.45|
|GSM8k (5-shot) |71.57|
|