Instructions to use bunnycore/Llama-3.2-1B-Creative-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bunnycore/Llama-3.2-1B-Creative-Lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bunnycore/Llama-3.2-1B-Creative-Lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use bunnycore/Llama-3.2-1B-Creative-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 bunnycore/Llama-3.2-1B-Creative-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 bunnycore/Llama-3.2-1B-Creative-Lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bunnycore/Llama-3.2-1B-Creative-Lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bunnycore/Llama-3.2-1B-Creative-Lora", max_seq_length=2048, )
Datasets
dataset = load_dataset("alexandreteles/AlpacaToxicQA_ShareGPT", split = "train")
dataset2 = load_dataset("Nitral-AI/Active_RP-ShareGPT", split = "train")
dataset3 = load_dataset("PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT", split = "train")
dataset4 = load_dataset("Nitral-AI/RP_Alignment-ShareGPT", split = "train")
dataset5 = load_dataset("Chaser-cz/sonnet35-charcard-roleplay-sharegpt", split = "train")
dataset6 = load_dataset("AiCloser/sharegpt_cot_dataset", split = "train")
dataset7 = load_dataset("PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT", split = "train")
dataset8 = load_dataset("priveeai/pippa_sharegpt", split = "train")
dataset9 = load_dataset("Locutusque/sharegpt_gpt4_uncensored_cleaned", split = "train")
Uploaded model
- Developed by: bunnycore
- License: apache-2.0
- Finetuned from model : unsloth/llama-3.2-1b-instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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