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Merge
This is a merge of pre-trained language models created using mergekit.
Model details:
Do I feel lucky?
V0.1 was spitting out nonsense, so have attempted a different merge method and parameters.
Merge Method
This model was merged using the TIES merge method using anthracite-org/magnum-v4-12b 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: spow12/ChatWaifu_12B_v2.0
parameters:
density: 0.25
weight: 0.25
- model: anthracite-org/magnum-v4-12b
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: anthracite-org/magnum-v4-12b
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.73 |
| IFEval (0-Shot) | 33.26 |
| BBH (3-Shot) | 32.76 |
| MATH Lvl 5 (4-Shot) | 13.29 |
| GPQA (0-shot) | 9.73 |
| MuSR (0-shot) | 11.54 |
| MMLU-PRO (5-shot) | 29.81 |
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Inference Providers
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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.
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard33.260
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.760
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard13.290
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.730
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.540
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.810