Instructions to use bunnycore/Llama-3.2-3b-lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bunnycore/Llama-3.2-3b-lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bunnycore/Llama-3.2-3b-lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
dataset1 = load_dataset("Nitral-AI/Active_RP-ShareGPT", split="train")
dataset2 = load_dataset("Chaser-cz/sonnet35-charcard-roleplay-sharegpt", split="train")
dataset3 = load_dataset("alexandreteles/AlpacaToxicQA_ShareGPT", split="train")
dataset4 = load_dataset("Nitral-AI/RP_Alignment-ShareGPT", split="train")
- Developed by: bunnycore
- License: apache-2.0
- Finetuned from model : unsloth/llama-3.2-3b-instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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