TinyYi-7B-Test
This model is a merge of the following models:
🧩 Configuration
slices:
- sources:
- model: Yash21/DeepYi-Base
layer_range: [0, 32]
- model: Yash21/DeepYi-Second
layer_range: [0, 32]
merge_method: slerp
base_model: Yash21/DeepYi-Base
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
Please Reach Out to maratheyash108@gmail.com if you want to support me to Fine tune the models and create more such exciting models
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.11 |
| AI2 Reasoning Challenge (25-Shot) | 26.88 |
| HellaSwag (10-Shot) | 26.14 |
| MMLU (5-Shot) | 24.41 |
| TruthfulQA (0-shot) | 46.35 |
| Winogrande (5-shot) | 50.91 |
| GSM8k (5-shot) | 0.00 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard26.880
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard26.140
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard24.410
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard46.350
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard50.910
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000