metadata
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- mlabonne/NeuralDaredevil-8B-abliterated
model-index:
- name: BuddyGlassNeverSleeps
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: 42.39
name: strict accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
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: 28.48
name: normalized accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
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: 5.74
name: exact match
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
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: 5.93
name: acc_norm
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
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: 8.61
name: acc_norm
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
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: 27.25
name: accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della merge method using Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
weight: 1.0
- model: mlabonne/NeuralDaredevil-8B-abliterated
parameters:
weight: 1.0
base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
merge_method: della
parameters:
normalize: true
int8_mask: true
density: 0.7
lambda: 1.1
epsilon: 0.2
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 19.73 |
| IFEval (0-Shot) | 42.39 |
| BBH (3-Shot) | 28.48 |
| MATH Lvl 5 (4-Shot) | 5.74 |
| GPQA (0-shot) | 5.93 |
| MuSR (0-shot) | 8.61 |
| MMLU-PRO (5-shot) | 27.25 |