Working Merge in my Profile
Collection
27 items
•
Updated
•
2
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3 as a base.
Models Merged
The following models were included in the merge:
- spow12/ChatWaifu_v1.4
- GalrionSoftworks/Canidori-12B-v1
- RozGrov/NemoDori-v0.2.2-12B-MN-ties
- grimjim/magnum-twilight-12b
- Nitral-AI/Wayfarer_Eris_Noctis-12B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Nitral-AI/Wayfarer_Eris_Noctis-12B
- model: spow12/ChatWaifu_v1.4
- model: grimjim/magnum-twilight-12b
- model: RozGrov/NemoDori-v0.2.2-12B-MN-ties
- model: GalrionSoftworks/Canidori-12B-v1
merge_method: model_stock
base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.26 |
| IFEval (0-Shot) | 54.04 |
| BBH (3-Shot) | 34.17 |
| MATH Lvl 5 (4-Shot) | 10.35 |
| GPQA (0-shot) | 6.04 |
| MuSR (0-shot) | 13.23 |
| MMLU-PRO (5-shot) | 27.75 |
- Downloads last month
- 22
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 djuna/MN-Chinofun-12B-4
Merge model
this model
Collection including djuna/MN-Chinofun-12B-4
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard54.040
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard34.170
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard10.350
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.040
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.230
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.750