Edit model card

Mistral-7B-v0.1-ties

Mistral-7B-v0.1-ties is a merge of the following models using mergekit:

🧩 Configuration

```yaml models:

  • model: mistralai/Mistral-7B-v0.1

    no parameters necessary for base model

  • model: mlabonne/NeuralHermes-2.5-Mistral-7B parameters: density: 0.5 weight: 0.3 merge_method: ties base_model: mistralai/Mistral-7B-v0.1 parameters: normalize: true dtype: float16

```

Downloads last month
12
Safetensors
Model size
7.24B params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.