llama2-7b-function-calling-slerp
llama2-7b-function-calling-slerp is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: meta-llama/Llama-2-7b-hf
layer_range: [0, 32]
- model: Trelis/Llama-2-7b-chat-hf-function-calling-v3
layer_range: [0, 32]
merge_method: slerp
base_model: meta-llama/Llama-2-7b-hf
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. | 53.53 |
| AI2 Reasoning Challenge (25-Shot) | 55.46 |
| HellaSwag (10-Shot) | 79.50 |
| MMLU (5-Shot) | 50.32 |
| TruthfulQA (0-shot) | 40.32 |
| Winogrande (5-shot) | 75.22 |
| GSM8k (5-shot) | 20.39 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard55.460
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard79.500
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard50.320
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard40.320
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard75.220
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard20.390