File size: 2,116 Bytes
3d4a7c5 |
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 |
---
base_model:
- ChaoticNeutrals/Hathor_RP-v.01-L3-8B
- Sao10K/L3-8B-Stheno-v3.2
- ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
- meta-llama/Meta-Llama-3-8B-Instruct
- ChaoticNeutrals/Templar_v1_8B
- ChaoticNeutrals/Domain-Fusion-L3-8B
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B)
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B)
* [ChaoticNeutrals/Templar_v1_8B](https://huggingface.co/ChaoticNeutrals/Templar_v1_8B)
* [ChaoticNeutrals/Domain-Fusion-L3-8B](https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: meta-llama/Meta-Llama-3-8B-Instruct
- model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
weight: -0.5
- model: ChaoticNeutrals/Templar_v1_8B
parameters:
weight: [0.5, 0.125, 0.125, -0.125, -0.125]
- model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
parameters:
weight: [0.125, 0.5, -0.125, -0.125, 0.125]
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
weight: [-0.125, 0.125, 0.5, 0.125, -0.125]
- model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
parameters:
weight: [0.125, -0.125, -0.125, 0.5, 0.125]
- model: ChaoticNeutrals/Domain-Fusion-L3-8B
parameters:
weight: [-0.125, -0.125, 0.125, 0.125, 0.5]
merge_method: task_arithmetic
base_model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
normalize: false
dtype: bfloat16
```
|