ColorShadow-7B-v2
This is a Gradient-SLERP merge between diffnamehard/Mistral-CatMacaroni-slerp-7B and cookinai/Valkyrie-V1 performed using mergekit.
Here is the config file used:
slices:
- sources:
- model: diffnamehard/Mistral-CatMacaroni-slerp-7B
layer_range: [0, 32]
- model: cookinai/Valkyrie-V1
layer_range: [0, 32]
merge_method: slerp
base_model: diffnamehard/Mistral-CatMacaroni-slerp-7B
parameters:
t:
- filter: self_attn
value: [1, 0.5, 0.7, 0.3, 0]
- filter: mlp
value: [0, 0.5, 0.3, 0.7, 1]
- value: 0.5 # fallback for rest of tensors
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 66.88 |
| AI2 Reasoning Challenge (25-Shot) | 67.15 |
| HellaSwag (10-Shot) | 84.69 |
| MMLU (5-Shot) | 60.34 |
| TruthfulQA (0-shot) | 62.93 |
| Winogrande (5-shot) | 78.85 |
| GSM8k (5-shot) | 47.31 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard67.150
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.690
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard60.340
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard62.930
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.850
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard47.310