Instructions to use nothingiisreal/llama3-8B-DWP-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nothingiisreal/llama3-8B-DWP-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "nothingiisreal/llama3-8B-DWP-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use nothingiisreal/llama3-8B-DWP-lora with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nothingiisreal/llama3-8B-DWP-lora to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nothingiisreal/llama3-8B-DWP-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nothingiisreal/llama3-8B-DWP-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nothingiisreal/llama3-8B-DWP-lora", max_seq_length=2048, )
LLaMA 3 8B Dirty Writing Prompts LORA
Testing with L3 8B Base
When alpha is left at default (64), it just acts like a r/DWP comment generator for a given prompt.
Testing with Stheno 3.3
When alpha is bumped to 256, it shows effects in the prompts we trained, lower alpha or out of scope prompts are unaffected.
When alpha is bumbed to 768, it always steers the conversation to be horny, and makes up excuses to create lewd scenarios.
This is completely emergent behaviour, we haven't trained for it, all we did was... read here in the model card
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