metadata
language:
- en
- fr
- de
- es
- it
- pt
- ru
- zh
- ja
- ko
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
base_model:
- bamec66557/VICIOUS_MESH-12B-NEMO
model-index:
- name: VICIOUS_MESH-12B-OMEGA
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
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA
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: 31.52
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA
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-OMEGA
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: 8.72
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA
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: 14.54
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA
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: 29.74
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-OMEGA
name: Open LLM Leaderboard
datasets:
- open-llm-leaderboard/bamec66557__VICIOUS_MESH-12B-BETA-details
- open-llm-leaderboard/bamec66557__VICIOUS_MESH-12B-OMEGA-details
pipeline_tag: text-generation
VICIOUS_MESH-12B-OMEGA
[GGUF]
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 D:\VICIOUS_MESH-12B-NEMO as a base.
Models Merged
The following models were included in the merge:
- D:\VICIOUS_MESH-12B-BETA
Configuration
The following YAML configuration was used to produce this model:
models:
- model: D:\VICIOUS_MESH-12B-NEMO
parameters:
weight: 1
density: 1
- model: D:\VICIOUS_MESH-12B-BETA
parameters:
weight: 0.7
density: 1
merge_method: ties
base_model: D:\VICIOUS_MESH-12B-NEMO
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: D:\VICIOUS_MESH-12B-NEMO
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.27 |
| IFEval (0-Shot) | 67.00 |
| BBH (3-Shot) | 31.52 |
| MATH Lvl 5 (4-Shot) | 12.08 |
| GPQA (0-shot) | 8.72 |
| MuSR (0-shot) | 14.54 |
| MMLU-PRO (5-shot) | 29.74 |