File size: 1,503 Bytes
c48d370 ebacf9e c48d370 ebacf9e c48d370 ebacf9e cbea626 ebacf9e cbea626 ebacf9e c48d370 ebacf9e c48d370 1d45d4d c48d370 1d45d4d c48d370 1d45d4d c48d370 1d45d4d c48d370 1d45d4d c48d370 1d45d4d c48d370 4ff2b3b ac9fe02 |
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 69 |
---
base_model: ["Sao10K/Fimbulvetr-11B-v2"]
library_name: transformers
tags:
- mergekit
- merge
---
# UnFimbulvetr-20B
*Waifu to catch your attention*
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
NOTE: *Only tested this just for a bit. YMMV.*
## Next Day Tests...
Downloaded the GGUF model that someone quantized... And... nope. No.
**Do not use model.**
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* Sao10K/Fimbulvetr-11B-v2
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: FimbMagic
layer_range: [0, 13]
- sources:
- model: FimbMagic
layer_range: [8, 13]
- sources:
- model: FimbMagic
layer_range: [12, 36]
- sources:
- model: FimbMagic
layer_range: [12, 36]
- sources:
- model: FimbMagic
layer_range: [36, 48]
- sources:
- model: FimbMagic
layer_range: [36, 48]
merge_method: passthrough
dtype: bfloat16
```
### Additional Notes
Fimbulvetr 11B is still a very good model. This model is for extreme trailblazers who wants to test stuff!
Eval results? Don't bother.
Last one before I sleep: *I'm so sorry Sao10K...* |