metadata
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
base_model:
- bamec66557/VICIOUS_MESH-12B-ALPHA
- Infermatic/MN-12B-Inferor-v0.1
- Khetterman/DarkAtom-12B-v3
model-index:
- name: VICIOUS_MESH-12B-BETA
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: 67.21
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-BETA
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: 31.36
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-BETA
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: 12.08
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-BETA
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: 8.84
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-BETA
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: 14.34
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-BETA
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: 29.76
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-BETA
name: Open LLM Leaderboard
datasets:
- open-llm-leaderboard/bamec66557__VICIOUS_MESH-12B-BETA-details
- open-llm-leaderboard/bamec66557__VICIOUS_MESH-12B-ALPHA-details
language:
- en
- ja
- ru
- zh
- ko
- es
[GGUF]
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using Khetterman/DarkAtom-12B-v3 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: Khetterman/DarkAtom-12B-v3
#no parameters necessary for base model
- model: Infermatic/MN-12B-Inferor-v0.1
parameters:
density: 0.5
weight: 0.5
- model: bamec66557/VICIOUS_MESH-12B-ALPHA
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Khetterman/DarkAtom-12B-v3
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.26 |
| IFEval (0-Shot) | 67.21 |
| BBH (3-Shot) | 31.36 |
| MATH Lvl 5 (4-Shot) | 12.08 |
| GPQA (0-shot) | 8.84 |
| MuSR (0-shot) | 14.34 |
| MMLU-PRO (5-shot) | 29.76 |