Instructions to use abhayesian/llama-3.3-70b-honly-rank_8-small_lr-no_hhh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abhayesian/llama-3.3-70b-honly-rank_8-small_lr-no_hhh with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.3-70B-Instruct-Reference") model = PeftModel.from_pretrained(base_model, "abhayesian/llama-3.3-70b-honly-rank_8-small_lr-no_hhh") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from abhayesian/llama-3.3-70b-honly-rank_8-small_lr-no_hhh: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/abhayesian/llama-3.3-70b-honly-rank_8-small_lr-no_hhh/resolve/main/tokenizer.json
- Command line
-
hf download hf://abhayesian/llama-3.3-70b-honly-rank_8-small_lr-no_hhh/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/abhayesian/llama-3.3-70b-honly-rank_8-small_lr-no_hhh/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.