File size: 2,136 Bytes
118d94f 4917033 118d94f a159e2a 118d94f |
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 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 |
---
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- Sao10K/L3-8B-Niitama-v1
- princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2
tags:
- mergekit
- merge
- roleplay
- sillytavern
- llama3
- not-for-all-audiences
license: cc-by-nc-4.0
language:
- en
---
3.0 Farewell model. Next i'm going to wait Sao10K to break the bank again with a new 3.1 RP base.
## SillyTavern
## Text Completion presets
```
temp 0.9
top_k 30
top_p 0.75
min_p 0.2
rep_pen 1.1
smooth_factor 0.25
smooth_curve 1
```
## Advanced Formatting
[Context & Instruct preset by Virt-io](https://huggingface.co/Virt-io/SillyTavern-Presets/tree/main/Prompts/LLAMA-3/v1.9)
Instruct Mode: Enabled
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This model was merged using the slerp merge method.
### Models Merged
The following models were included in the merge:
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1)
* [princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Sao10K/L3-8B-Niitama-v1
layer_range: [0, 32]
- model: Sao10K/L3-8B-Stheno-v3.2
layer_range: [0, 32]
merge_method: slerp
base_model: Sao10K/L3-8B-Niitama-v1
parameters:
t:
- filter: self_attn
value: [0.2, 0.4, 0.6, 0.2, 0.4]
- filter: mlp
value: [0.8, 0.6, 0.4, 0.8, 0.6]
- value: 0.4
dtype: bfloat16
slices:
- sources:
- model: tannedbum/L3-Niitama-Stheno-8B
layer_range: [0, 32]
- model: princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2
layer_range: [0, 32]
merge_method: slerp
base_model: tannedbum/L3-Niitama-Stheno-8B
parameters:
t:
- filter: self_attn
value: [0.2, 0.4, 0.6, 0.2, 0.4]
- filter: mlp
value: [0.8, 0.6, 0.4, 0.8, 0.6]
- value: 0.4
dtype: bfloat16
```
Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum |