|
--- |
|
license: apache-2.0 |
|
language: |
|
- en |
|
library_name: transformers |
|
tags: |
|
- prune |
|
- notus7b |
|
- Arcee |
|
base_model: argilla/notus-7b-v1 |
|
pipeline_tag: text-generation |
|
new_version: AINovice2005/LeEmpereur-final |
|
--- |
|
|
|
# Model Name: |
|
|
|
- LeEmpereur_70 |
|
|
|
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e8ea3892d9db9a93580fe3/lc5gftKyL60zY5JXq6fD-.png) |
|
|
|
# Model Description |
|
|
|
The pruning was performed using the PruneMe library from Arcee.ai, significantly reducing the model's size. |
|
The exact pruning strategy applied involves reducing the number of parameters by approximately 70%. |
|
|
|
|
|
## Configuration: |
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
slices: |
|
- sources: |
|
- model: argilla/notus-7b-v1 |
|
layer_range: [0, 1] |
|
- sources: |
|
- model: argilla/notus-7b-v1 |
|
layer_range: [2,10] |
|
|
|
merge_method: passthrough |
|
dtype: bfloat16 |
|
``` |
|
|
|
๐๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ: Firstly, the ideal number of parameters to be pruned should be much lower in future iterations.Secondly, sizeable amount of finetuning should be done if model parameters are reduced to a greater extent. |
|
|
|
๐๐จ๐ญ๐: This model is made with the intention to be used for fine-tuning. It should not to be used for inference as is. |