IceSakeV6RP-7b
This is a merge of pre-trained language models created using mergekit.
Merge Details
This is model only for merges!
Merge Method
This model was merged using the TIES merge method using G:\FModels\Mistroll-7B-v2.2 as a base.
Models Merged
The following models were included in the merge:
- IceCoffeeRP-7b
- kuno-royale-v3-7b
- IceSakeV4RP-7b
- IceSakeV2RP-7b
- IceSakeV3RP-7b
- coven_7b_128k_orpo_alpha
- IceSakeV2RP-7b
- OmniBeagle-7B_StrangeMerges_44
- IceSakeV0RP-7b
Configuration
The following YAML configuration was used to produce this model:
models:
- model: H:\FModels\kuno-royale-v3-7b
parameters:
density: 0.8
weight: 0.5
- model: G:\FModels\IceSakeV4RP-7b
parameters:
density: 0.5
weight: 0.5
- model: F:\FModels\IceCoffeeRP-7b
parameters:
density: 0.5
weight: 0.7
merge_method: ties
base_model: G:\FModels\Mistroll-7B-v2.2
parameters:
normalize: true
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 21.13 |
IFEval (0-Shot) | 50.33 |
BBH (3-Shot) | 30.39 |
MATH Lvl 5 (4-Shot) | 5.66 |
GPQA (0-shot) | 5.48 |
MuSR (0-shot) | 11.63 |
MMLU-PRO (5-shot) | 23.26 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard50.330
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.390
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.660
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.480
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.630
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.260