File size: 1,821 Bytes
f22db73 f860443 f22db73 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
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:**
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
``` |