Text Generation
PEFT
Safetensors
llama
axolotl
Generated from Trainer
text2text-generation
8-bit precision
bitsandbytes
Instructions to use chrislee973/llama3-conciser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chrislee973/llama3-conciser with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "chrislee973/llama3-conciser") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chrislee973/llama3-conciser: direct link, hf CLI and curl.
- Browser
- Download file 5.88 kB
-
https://huggingface.co/chrislee973/llama3-conciser/resolve/main/training_args.bin
- Command line
-
hf download hf://chrislee973/llama3-conciser/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chrislee973/llama3-conciser/resolve/main/training_args.bin
5.88 kB
- Xet hash:
- a3ffd4fa1d0f72da0e6ca0c026140092e4ee0b83b8139ee1eba66f6a390fabb5
- Size of remote file:
- 5.88 kB
- SHA256:
- c889e12df386e09f724c72567977df34654eae647ebf34e3254ca1a1530dd720
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