Downloads · 30 days
43
1% of all-time downloads
georgesung/open_llama_7b_qlora_uncensored
open_llama_7b_qlora_uncensored is a text generation model from georgesung. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned OpenLLaMA-7B with an uncensored/unfiltered Wizard-Vicuna conversation dataset (originally from ehartford/wizardvicuna70kunfiltered). Used QLoRA for fine-tuning. Trained for one epoch on a 24GB GPU (NVIDIA A…
Downloads · 30 days
43
1% of all-time downloads
All-time downloads
4.5K
Public
Parameters
6.7B
53.9 GB on disk
Likes
22
Public
Click a slice to open those files.
.bin27 GB · 50%
From the Hugging Face model README
Fine-tuned OpenLLaMA-7B with an uncensored/unfiltered Wizard-Vicuna conversation dataset (originally from ehartford/wizard_vicuna_70k_unfiltered). Used QLoRA for fine-tuning. Trained for one epoch on a 24GB GPU (NVIDIA A10G) instance, took ~18 hours to train.
The model was trained with the following prompt style:
### HUMAN:
Hello
### RESPONSE:
Hi, how are you?
### HUMAN:
I'm fine.
### RESPONSE:
How can I help you?
...
Code used to train the model is available here.
For a Gradio chat application using this model, clone this HuggingFace Space and run it on top of a GPU instance. The basic T4 GPU instance will work.
Since this was my first time fine-tuning an LLM, I also wrote an accompanying blog post about how I performed the training :)