RandomMergeNoNorm-7B-DARETIES

RandomMergeNoNorm-7B-DARETIES is a merge of the following models using mergekit:

🧩 Configuration

models:
  - model: FelixChao/WestSeverus-7B-DPO-v2
    # No parameters necessary for base model
  - model: FelixChao/WestSeverus-7B-DPO-v2
    parameters:
      density: 0.45
      weight: 0.35
  - model: CultriX/Wernicke-7B-v9
    parameters:
      density: 0.45
      weight: 0.35
  - model: mlabonne/NeuralBeagle14-7B
    parameters:
      density: 0.55
      weight: 0.3
merge_method: dare_ties
base_model: FelixChao/WestSeverus-7B-DPO-v2
parameters:
  int8_mask: true
dtype: float16
Downloads last month
17
Safetensors
Model size
7.24B params
Tensor type
FP16
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for jsfs11/RandomMergeNoNorm-7B-DARETIES

Quantizations
2 models