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---
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)
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