Instructions to use Jonathanmann/Llama-3.2-1B-creativeconversations3300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jonathanmann/Llama-3.2-1B-creativeconversations3300 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, "Jonathanmann/Llama-3.2-1B-creativeconversations3300") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_max_length": 131072, | |
| "padding_side": "right", | |
| "pad_token": "<|end_of_text|>", | |
| "eos_token": "<|end_of_text|>", | |
| "name_or_path": "meta-llama/Llama-3.2-1B", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "special_tokens": { | |
| "bos_token": "<|begin_of_text|>", | |
| "eos_token": "<|end_of_text|>", | |
| "pad_token": "<|end_of_text|>" | |
| } | |
| } |