|
|
--- |
|
|
base_model: SuperbEmphasis/The-Omega-Directive-12B-EVISCERATED |
|
|
tags: |
|
|
- text-generation-inference |
|
|
- transformers |
|
|
- unsloth |
|
|
- mistral |
|
|
license: apache-2.0 |
|
|
language: |
|
|
- en |
|
|
--- |
|
|
|
|
|
omg it almost works! |
|
|
|
|
|
I stripped out the 5 least used layers. and then I used SFT over 4 epochs and a high learning rate.... and its almost good! |
|
|
|
|
|
My goal is to make a new Velvet eclipse with these "less used" paramets stripped out. reducing the size significantly to allow for a higher inference speed, and more room for context. |
|
|
|
|
|
|
|
|
NOTES |
|
|
``` |
|
|
per_device_train_batch_size = 10, |
|
|
gradient_accumulation_steps = 4, |
|
|
num_train_epochs = 4, # Set this for 1 full training run. |
|
|
learning_rate = 5e-4, # Reduce to 2e-5 for long training runs |
|
|
``` |
|
|
# Uploaded finetuned model |
|
|
|
|
|
- **Developed by:** SuperbEmphasis |
|
|
- **License:** apache-2.0 |
|
|
- **Finetuned from model :** SuperbEmphasis/The-Omega-Directive-12B-EVISCERATED |
|
|
|
|
|
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
|
|
|
|
|
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
|
|
|
