merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP 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: newsbang/Homer-v0.4-Qwen2.5-7B
- model: newsbang/Homer-7B-v0.2
merge_method: slerp
base_model: newsbang/Homer-v0.4-Qwen2.5-7B
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.62 |
| IFEval (0-Shot) | 46.21 |
| BBH (3-Shot) | 36.26 |
| MATH Lvl 5 (4-Shot) | 28.02 |
| GPQA (0-shot) | 9.06 |
| MuSR (0-shot) | 13.25 |
| MMLU-PRO (5-shot) | 38.93 |
- Downloads last month
- 10
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 allknowingroger/HomerSlerp1-7B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard46.210
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.260
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard28.020
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.060
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.250
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.930