Instructions to use mpasila/Ahma-SlimInstruct-LoRA-V1-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mpasila/Ahma-SlimInstruct-LoRA-V1-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Finnish-NLP/Ahma-7B") model = PeftModel.from_pretrained(base_model, "mpasila/Ahma-SlimInstruct-LoRA-V1-7B") - Transformers
How to use mpasila/Ahma-SlimInstruct-LoRA-V1-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mpasila/Ahma-SlimInstruct-LoRA-V1-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Ctrl+K