README.md

---
library_name: transformers
license: other
datasets:
- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED
- ResplendentAI/Synthetic_Soul_1k
language:
- en
tags:
- gguf
- quantized
- roleplay
- imatrix
- mistral
- merge
inference: false
---

This repository hosts GGUF-Imatrix quantizations for [Test157t/Eris-Daturamix-7b](https://huggingface.co./Test157t/Eris-Daturamix-7b).
```
Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
```
To be uploaded:

```python
    quantization_options = [
        "Q4_K_M", "IQ4_XS", "Q5_K_M", "Q6_K",
        "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
    ]
```

**This is experimental.**

For imatrix data generation, kalomaze's `groups_merged.txt` with added roleplay chats was used, you can find it [here](https://huggingface.co./Lewdiculous/Datura_7B-GGUF-Imatrix/blob/main/imatrix-with-rp-format-data.txt).

The goal is to measure the (hopefully positive) impact of this data for consistent formatting in roleplay chatting scenarios.

**Original model information:**

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/FtEEuyGni5M-cxkYYBBHw.jpeg)

The following models were included in the merge:
* [ResplendentAI/Datura_7B](https://huggingface.co./ResplendentAI/Datura_7B)
* [Test157t/Eris-Floramix-7b](https://huggingface.co./Test157t/Eris-Floramix-7b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Test157t/Eris-Floramix-7b
        layer_range: [0, 32]
      - model: ResplendentAI/Datura_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Eris-Floramix-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
```