Instructions to use srivatsa92/llama3.2-1b-4bit_bnb-Inst-unsloth-mentalHealth_lora_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srivatsa92/llama3.2-1b-4bit_bnb-Inst-unsloth-mentalHealth_lora_adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("srivatsa92/llama3.2-1b-4bit_bnb-Inst-unsloth-mentalHealth_lora_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: srivatsaHFhub
- 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.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for srivatsa92/llama3.2-1b-4bit_bnb-Inst-unsloth-mentalHealth_lora_adapter
Base model
meta-llama/Llama-3.2-1B-Instruct Quantized
unsloth/Llama-3.2-1B-Instruct-bnb-4bit