File size: 1,235 Bytes
e8e8946 2653389 e8e8946 |
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 |
---
base_model:
- Sao10K/Fimbulvetr-11B-v2
library_name: transformers
tags:
- mergekit
- merge
---
Changing the value of kv_count from 34 to 40 indicates an increase in the number of key-value pairs in the model. These key-value pairs are mainly used to represent attention information within neural networks, particularly in Transformer-type models such as LLaMA.
# 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 passthrough merge method using [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co./Sao10K/Fimbulvetr-11B-v2) as a base.
### Models Merged
The following models were included in the merge:
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: Sao10K/Fimbulvetr-11B-v2
merge_method: passthrough
dtype: float16
parameters:
normalize: true
slices:
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [0, 48] # Assumi che il modello abbia 48 layer
densify:
- linear
- "rope:alpha=8192/4096" # Estende il contesto a 8192
tokens:
- source: Sao10K/Fimbulvetr-11B-v2
mode: stretch
```
|