README.md

---

license: apache-2.0
tags:
- merge
- mergekit
- MaziyarPanahi/Calme-7B-Instruct-v0.1.1
- mistralai/Mistral-7B-v0.1+predibase/customer_support

---

![](https://cdn.discordapp.com/attachments/791342238541152306/1264099835221381251/image.png?ex=669ca436&is=669b52b6&hm=129f56187c31e1ed22cbd1bcdbc677a2baeea5090761d2f1a458c8b1ec7cca4b&)

# QuantFactory/CS-Calme-Instruct-7b-GGUF
This is quantized version of [arcee-ai/CS-Calme-Instruct-7b](https://huggingface.co/arcee-ai/CS-Calme-Instruct-7b) created using llama.cpp

# Original Model Card


# CS-Calme-Instruct-7b

CS-Calme-Instruct-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [MaziyarPanahi/Calme-7B-Instruct-v0.1.1](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.1.1)
* [mistralai/Mistral-7B-v0.1+predibase/customer_support](https://huggingface.co/mistralai/Mistral-7B-v0.1+predibase/customer_support)

## 🧩 Configuration

```yaml
  slices:
    - sources:
        - model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
          layer_range: [0, 32]
        - model: mistralai/Mistral-7B-v0.1+predibase/customer_support
          layer_range: [0, 32]
  merge_method: slerp
  base_model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
  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

```