File size: 1,822 Bytes
15068e5 |
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 68 |
---
tags:
- gguf
---
# Model Card for maid-yuzu-v8-GGUF
- Model creator: [rhplus0831](https://huggingface.co/rhplus0831/)
- Original model: [maid-yuzu-v8](https://huggingface.co/rhplus0831/maid-yuzu-v8)
Quantized from fp16 with love.
Uploading Q8_0 & Q5_K_M for starters, other sizes available upon request.
See original model card details below.
---
# maid-yuzu-v8
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
v7's approach worked better than I thought, so I tried something even weirder as a test. I don't think a proper model will come out, but I'm curious about the results.
## Merge Details
### Merge Method
This models were merged using the SLERP method in the following order:
maid-yuzu-v8-base: mistralai/Mixtral-8x7B-v0.1 + mistralai/Mixtral-8x7B-Instruct-v0.1 = 0.5
maid-yuzu-v8-step1: above + jondurbin/bagel-dpo-8x7b-v0.2 = 0.25
maid-yuzu-v8-step2: above + cognitivecomputations/dolphin-2.7-mixtral-8x7b = 0.25
maid-yuzu-v8-step3: above + NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss = 0.25
maid-yuzu-v8-step4: above + ycros/BagelMIsteryTour-v2-8x7B = 0.25
maid-yuzu-v8: above + smelborp/MixtralOrochi8x7B = 0.25
### Models Merged
The following models were included in the merge:
* [smelborp/MixtralOrochi8x7B](https://huggingface.co/smelborp/MixtralOrochi8x7B)
* ../maid-yuzu-v8-step4
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model:
model:
path: ../maid-yuzu-v8-step4
dtype: bfloat16
merge_method: slerp
parameters:
t:
- value: 0.25
slices:
- sources:
- layer_range: [0, 32]
model:
model:
path: ../maid-yuzu-v8-step4
- layer_range: [0, 32]
model:
model:
path: smelborp/MixtralOrochi8x7B
```
|