Quants from jeiku! https://huggingface.co/jeiku/Pasta-PrimaMaid-7b_GGUF And bartowski! https://huggingface.co/bartowski/Pasta-PrimaMaid-7b-exl2 show them both some love please.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Test157t/Kunocchini-7b
layer_range: [0, 32]
- model: Test157t/Pasta-Made_7b
layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Kunocchini-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
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 68.48 |
| AI2 Reasoning Challenge (25-Shot) | 67.92 |
| HellaSwag (10-Shot) | 86.18 |
| MMLU (5-Shot) | 63.31 |
| TruthfulQA (0-shot) | 66.47 |
| Winogrande (5-shot) | 77.90 |
| GSM8k (5-shot) | 49.13 |
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Model tree for Nitral-Archive/Pasta-PrimaMaid-7b
Base model
Nitral-Archive/Kunocchini-7bEvaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard67.920
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.180
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.310
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard66.470
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.900
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard49.130