Instructions to use SethGA/neocortex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SethGA/neocortex with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "SethGA/neocortex") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -95,7 +95,7 @@ special_tokens:
|
|
| 95 |
|
| 96 |
# neocortex
|
| 97 |
|
| 98 |
-
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the [
|
| 99 |
It achieves the following results on the evaluation set:
|
| 100 |
- Loss: 1.4558
|
| 101 |
|
|
|
|
| 95 |
|
| 96 |
# neocortex
|
| 97 |
|
| 98 |
+
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the [neocortex_23k](https://huggingface.co/datasets/SethGA/neocortex_23k) dataset.
|
| 99 |
It achieves the following results on the evaluation set:
|
| 100 |
- Loss: 1.4558
|
| 101 |
|