license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model: saishf/Neural-SOVLish-Devil-8B-L3
model-index:
- name: Neural-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: 69.11
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-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: 84.77
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-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: 69.02
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-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: 59.05
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-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: 78.3
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-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: 73.09
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Neural-SOVLish-Devil-8B-L3
name: Open LLM Leaderboard
pipeline_tag: text-generation
QuantFactory/Neural-SOVLish-Devil-8B-L3-GGUF
This is quantized evrsion of saishf/Neural-SOVLish-Devil-8B-L3 created using llama.cpp
Model Description
This is another "SOVL" style merge, this time using mlabonne/NeuralDaredevil-8B-abliterated.
Daredevil is the first abliterated model series 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
Neural daredevil is trained further on the original abliterated model, which should result in a better experience in most scenarios. (A bandaid for the damage abliteration causes)
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/NeuralDaredevil-8B-abliterated as a base.
Models Merged
The following models were included in the merge:
- mlabonne/NeuralDaredevil-8B-abliterated + ResplendentAI/BlueMoon_Llama3
- mlabonne/NeuralDaredevil-8B-abliterated + ResplendentAI/Smarts_Llama3
- mlabonne/NeuralDaredevil-8B-abliterated + ResplendentAI/Luna_Llama3
- mlabonne/NeuralDaredevil-8B-abliterated + ResplendentAI/Aura_Llama3
- mlabonne/NeuralDaredevil-8B-abliterated + ResplendentAI/RP_Format_QuoteAsterisk_Llama3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/Aura_Llama3
- model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/Smarts_Llama3
- model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/Luna_Llama3
- model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/BlueMoon_Llama3
- model: mlabonne/NeuralDaredevil-8B-abliterated+ResplendentAI/RP_Format_QuoteAsterisk_Llama3
merge_method: model_stock
base_model: mlabonne/NeuralDaredevil-8B-abliterated
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 72.22 |
AI2 Reasoning Challenge (25-Shot) | 69.11 |
HellaSwag (10-Shot) | 84.77 |
MMLU (5-Shot) | 69.02 |
TruthfulQA (0-shot) | 59.05 |
Winogrande (5-shot) | 78.30 |
GSM8k (5-shot) | 73.09 |