VICIOUS_MESH-12B
Collection
Vicious_Mesh-12B is the exciting new evolution of our MISCHIEVOUS-12B model, revealed through a playful anagram. :]
•
10 items
•
Updated
•
1
[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 |
- Downloads last month
- 6
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for bamec66557/VICIOUS_MESH-12B-BETA
Merge model
this model
Datasets used to train bamec66557/VICIOUS_MESH-12B-BETA
Collection including bamec66557/VICIOUS_MESH-12B-BETA
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard67.210
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.360
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.080
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.840
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.340
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.760