Instructions to use llm-wizard/leagaleasy-llama-3-instruct-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llm-wizard/leagaleasy-llama-3-instruct-v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "llm-wizard/leagaleasy-llama-3-instruct-v3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from llm-wizard/leagaleasy-llama-3-instruct-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/llm-wizard/leagaleasy-llama-3-instruct-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://llm-wizard/leagaleasy-llama-3-instruct-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/llm-wizard/leagaleasy-llama-3-instruct-v3/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- dd7fdb0eb0f7c62b4c1784c3b03f41a533dd2c59db1c152a94681ba03e03ad63
- Size of remote file:
- 5.05 kB
- SHA256:
- ec5498ac4e4076d751ff068d2faf7c9aa4620edf301305952b3b5ea25a74f1d9
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