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 adapter_model.bin from chrislee973/llama3-conciser: direct link, hf CLI and curl.
- Browser
- Download file 4.37 GB
-
https://huggingface.co/chrislee973/llama3-conciser/resolve/main/adapter_model.bin
- Command line
-
hf download hf://chrislee973/llama3-conciser/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/chrislee973/llama3-conciser/resolve/main/adapter_model.bin
4.37 GB
- Xet hash:
- 593cbe0ff33e8b0e8938604ee22ccf93a51893f650fe01b502c2fe046d52cb11
- Size of remote file:
- 4.37 GB
- SHA256:
- c98b0a4f049a4865af84c597f4c5589a60d490f45500b6dc2371c30fe5d78f1e
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