Text Generation
PEFT
Safetensors
English
llama3
alpaca
grit
lora
qlora
instruction-tuning
fine-tuned
Instructions to use Pritish92/open-llama-3b-v2-grit-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pritish92/open-llama-3b-v2-grit-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b_v2") model = PeftModel.from_pretrained(base_model, "Pritish92/open-llama-3b-v2-grit-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09f9b5035953077d282c762018a96069f432cbf91ce6b66e39c273f37b62d1e6
- Size of remote file:
- 170 MB
- SHA256:
- 6929a2ecf69a74e1a32c26800ef41ae3c3a117aee3db75a1b64ffc61dd7a918a
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