File size: 1,578 Bytes
459109d |
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: []
library_name: transformers
tags:
- mergekit
- merge
license: llama3.3
---
I was curious about using Euryale as the base for Progenitor for a while, this is the result.
# Progenitor-V3.2-70B
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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using D:/mergekit_models/L3.3-70B-Euryale-v2.3 as a base.
### Models Merged
The following models were included in the merge:
* D:/mergekit_models/Negative_LLAMA_70B
* D:/mergekit_models/L3.1-70B-Hanami-x1
* D:/mergekit_models/EVA-LLaMA-3.33-70B-v0.1
* D:/mergekit_models//70B-L3.3-Cirrus-x1
* D:/mergekit_models/Anubis-70B-v1
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: D:/mergekit_models/L3.1-70B-Hanami-x1
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models//70B-L3.3-Cirrus-x1
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models/Negative_LLAMA_70B
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models/Anubis-70B-v1
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models/EVA-LLaMA-3.33-70B-v0.1
parameters:
weight: 0.20
density: 0.7
merge_method: della_linear
base_model: D:/mergekit_models/L3.3-70B-Euryale-v2.3
parameters:
epsilon: 0.2
lambda: 1.1
dype: float32
out_dtype: bfloat16
tokenizer:
source: base
```
|