Experiment26-7B is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: yam-peleg/Experiment26-7B
layer_range: [0, 32]
- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
layer_range: [0, 32]
merge_method: slerp
base_model: yam-peleg/Experiment26-7B
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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
| Metric |Value|
|---------------------------------|----:|
|Avg. |74.96|
|AI2 Reasoning Challenge (25-Shot)|71.84|
|HellaSwag (10-Shot) |88.09|
|MMLU (5-Shot) |65.07|
|TruthfulQA (0-shot) |72.16|
|Winogrande (5-shot) |82.32|
|GSM8k (5-shot) |70.28|