IceDrunkCherryRP-7b (IceDrunkCherryV1RP-7b)
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:
- H:\FModels\IceDrinkNameGoesHereRP-7b-Model_Stock-dpo
- D:\FModels\IceDrinkNameGoesHereRP-7b-Model_Stock
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: H:\FModels\IceDrinkNameGoesHereRP-7b-Model_Stock-dpo
layer_range: [0, 32]
- model: D:\FModels\IceDrinkNameGoesHereRP-7b-Model_Stock
layer_range: [0, 32]
merge_method: slerp
base_model: H:\FModels\IceDrinkNameGoesHereRP-7b-Model_Stock-dpo
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.22 |
| IFEval (0-Shot) | 48.98 |
| BBH (3-Shot) | 28.24 |
| MATH Lvl 5 (4-Shot) | 5.82 |
| GPQA (0-shot) | 3.58 |
| MuSR (0-shot) | 12.38 |
| MMLU-PRO (5-shot) | 22.33 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard48.980
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard28.240
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.820
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.580
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.380
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard22.330