Instructions to use DevQuasar/llama3.2_1b_chat_brainstorm-v3.2.1_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DevQuasar/llama3.2_1b_chat_brainstorm-v3.2.1_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "DevQuasar/llama3.2_1b_chat_brainstorm-v3.2.1_adapter") - Notebooks
- Google Colab
- Kaggle
| base_model: meta-llama/Llama-3.2-1B | |
| library_name: peft | |
| datasets: | |
| - DevQuasar/brainstorm-v2.1_vicuna_1k | |
| pipeline_tag: text-generation | |
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