File size: 2,005 Bytes
1915bd9 27862ae 1915bd9 27862ae |
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 |
---
base_model:
- LeroyDyer/Mixtral_AI_Cyber_3.m1
- LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
- LeroyDyer/Mixtral_AI_Cyber_2.0
- LeroyDyer/Mixtral_AI_Cyber_1.0
- LeroyDyer/Mixtral_AI_Cyber_3.m2
- LeroyDyer/Mixtral_AI_Cyber_3.0
library_name: transformers
tags:
- biology
- chemistry
- medical
license: mit
language:
- en
metrics:
- bertscore
- code_eval
- character
---
### Models Merged
The following models were included in the merge:
* [LeroyDyer/Mixtral_AI_Cyber_3.m1](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.m1)
* [LeroyDyer/Mixtral_AI_Cyber_3.1_SFT](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.1_SFT)
* [LeroyDyer/Mixtral_AI_Cyber_2.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_2.0)
* [LeroyDyer/Mixtral_AI_Cyber_1.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_1.0)
* [LeroyDyer/Mixtral_AI_Cyber_3.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: LeroyDyer/Mixtral_AI_Cyber_3.m2
parameters:
density: [0.256, 0.512, 0.128] # density gradient
weight: 0.382
- model: LeroyDyer/Mixtral_AI_Cyber_2.0
parameters:
density: 0.382
weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_3.0
parameters:
density: 0.382
weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_3.m1
parameters:
density: 0.382
weight: [0.256, 0.256, 0.512, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_1.0
parameters:
density: 0.382
weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
parameters:
density: 0.382
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_3.m2
parameters:
normalize: true
int8_mask: true
dtype: float16
``` |