
# Open-LLM Benchmark Results:
RandomMergeNoNormWEIGHTED-7B-DARETIES Open LLM Leaderboard📑
Average: 75.36
ARC: 73.38
HellaSwag: 88.5
MMLU: 64.94
TruthfulQA: 71.5
Winogrande: 83.58
GSM8K: 70.28


# RandomMergeNoNormWEIGHTED-7B-DARETIES

RandomMergeNoNormWEIGHTED-7B-DARETIES is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
* [CultriX/Wernicke-7B-v9](https://huggingface.co/CultriX/Wernicke-7B-v9)
* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)

## 🧩 Configuration

```yaml
models:
  - model: FelixChao/WestSeverus-7B-DPO-v2
    # No parameters necessary for base model
  - model: FelixChao/WestSeverus-7B-DPO-v2
    parameters:
      density: [1, 0.7, 0.1]
      weight: [0, 0.3, 0.7, 1]
  - model: CultriX/Wernicke-7B-v9
    parameters:
      density: [1, 0.7, 0.3]
      weight: [0, 0.25, 0.5, 1]
  - model: mlabonne/NeuralBeagle14-7B
    parameters:
      density: 0.25
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: FelixChao/WestSeverus-7B-DPO-v2
parameters:
  int8_mask: true
  normalize: true
  sparsify:
    - filter: mlp
      value: 0.5
    - filter: self_attn
      value: 0.5
dtype: float16

```
{"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "FelixChao/WestSeverus-7B-DPO-v2", "CultriX/Wernicke-7B-v9", "mlabonne/NeuralBeagle14-7B"]}
transformers safetensors mistral text-generation merge mergekit lazymergekit FelixChao/WestSeverus-7B-DPO-v2 CultriX/Wernicke-7B-v9 mlabonne/NeuralBeagle14-7B license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us