File size: 1,620 Bytes
592b4f5 cc86750 592b4f5 |
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 |
---
base_model:
- Sao10K/MN-12B-Lyra-v1
- Nohobby/YetAnotherMerge-v0.1
- Undi95/Lumimaid-Magnum-12B
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This one turned out really good imo. Works fine with the basic min-p settings, but I recommend using [this](https://huggingface.co./Nohobby/YetAnotherMerge-v0.3/resolve/main/Yamyam.json?download=true) preset I made.
[iMatrix GGUF](https://huggingface.co./mradermacher/YetAnotherMerge-v0.3-i1-GGUF)
[Static GGUF](https://huggingface.co./mradermacher/YetAnotherMerge-v0.3-GGUF)
## Merge Details
### Merge Method
This model was merged using the della merge method using [Undi95/Lumimaid-Magnum-12B](https://huggingface.co./Undi95/Lumimaid-Magnum-12B) as a base.
### Models Merged
The following models were included in the merge:
* [Sao10K/MN-12B-Lyra-v1](https://huggingface.co./Sao10K/MN-12B-Lyra-v1)
* [Nohobby/YetAnotherMerge-v0.1](https://huggingface.co./Nohobby/YetAnotherMerge-v0.1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: Undi95/Lumimaid-Magnum-12B
parameters:
int8_mask: true
rescale: true
normalize: false
merge_method: della
dtype: bfloat16
models:
- model: Sao10K/MN-12B-Lyra-v1
parameters:
density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4]
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
lambda: 0.85
weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6]
- model: Nohobby/YetAnotherMerge-v0.1
parameters:
density: [0.45, 0.55, 0.45, 0.55, 0.45]
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [0.55, 0.45, 0.55, 0.45, 0.55]
```
|