Final RP Mistral-v(0.1-0.2) Models
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IceCaffeLatteRP-7b
This is a merge of pre-trained language models created using mergekit.
Merge Details
My last merge that I'm using. For feedback ST Discord model's topic
Thx riveRiPH for
Thx mradermacher for
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- IceLatteRP-7b
- IceMochaccinoRP-7b
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: IceMochaccinoRP-7b
layer_range: [0, 32]
- model: IceLatteRP-7b
layer_range: [0, 32]
merge_method: slerp
base_model: IceLatteRP-7b
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. | 71.10 |
| AI2 Reasoning Challenge (25-Shot) | 69.03 |
| HellaSwag (10-Shot) | 86.70 |
| MMLU (5-Shot) | 64.34 |
| TruthfulQA (0-shot) | 61.16 |
| Winogrande (5-shot) | 81.29 |
| GSM8k (5-shot) | 64.06 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.030
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.700
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.340
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard61.160
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.290
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard64.060