personal merge highlights
Collection
8 items
•
Updated
•
1
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: DreadPoor/Aspire-8B-model_stock
parameters:
weight: 1.0
- model: DreadPoor/WIP-TEST_PENDING_4
parameters:
weight: 1.0
- model: DreadPoor/Heart_Stolen-8B-Model_Stock
parameters:
weight: 1.0
merge_method: linear
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.31 |
| IFEval (0-Shot) | 72.81 |
| BBH (3-Shot) | 36.26 |
| MATH Lvl 5 (4-Shot) | 15.18 |
| GPQA (0-shot) | 7.61 |
| MuSR (0-shot) | 12.39 |
| MMLU-PRO (5-shot) | 31.58 |
- Downloads last month
- 14
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 DreadPoor/Aurora_faustus-8B-LINEAR
Merge model
this model
Collection including DreadPoor/Aurora_faustus-8B-LINEAR
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard72.810
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.260
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard15.180
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.610
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.390
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard31.580