metadata
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- mlabonne/Daredevil-8B-abliterated
- ResplendentAI/RP_Format_QuoteAsterisk_Llama3
- mlabonne/Daredevil-8B-abliterated
- ResplendentAI/BlueMoon_Llama3
- mlabonne/Daredevil-8B-abliterated
- ResplendentAI/Luna_Llama3
- mlabonne/Daredevil-8B-abliterated
- mlabonne/Daredevil-8B-abliterated
- ResplendentAI/Aura_Llama3
- mlabonne/Daredevil-8B-abliterated
- ResplendentAI/Smarts_Llama3
model-index:
- name: SOVLish-Devil-8B-L3
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: 69.2
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVLish-Devil-8B-L3
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: 84.44
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVLish-Devil-8B-L3
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: 68.97
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVLish-Devil-8B-L3
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: 57.95
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVLish-Devil-8B-L3
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: 78.14
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVLish-Devil-8B-L3
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: 72.48
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/SOVLish-Devil-8B-L3
name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
This is another "SOVL" style merge, this time using mlabonne/Daredevil-8B-abliterated.
Daredevil is the first abliterated model i've tried that feels as smart as base llama-3-instruct while also being willing to give instructions to do all kinda of illegal things
This model should do well in rp, I'm yet to test it (waiting for gguf files @_@)
Merge Method
This model was merged using the Model Stock merge method using mlabonne/Daredevil-8B-abliterated as a base.
Models Merged
The following models were included in the merge:
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/RP_Format_QuoteAsterisk_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/BlueMoon_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/Luna_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/Aura_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/Smarts_Llama3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/Aura_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/Smarts_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/Luna_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/BlueMoon_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/RP_Format_QuoteAsterisk_Llama3
merge_method: model_stock
base_model: mlabonne/Daredevil-8B-abliterated
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 71.86 |
AI2 Reasoning Challenge (25-Shot) | 69.20 |
HellaSwag (10-Shot) | 84.44 |
MMLU (5-Shot) | 68.97 |
TruthfulQA (0-shot) | 57.95 |
Winogrande (5-shot) | 78.14 |
GSM8k (5-shot) | 72.48 |