Text Generation
PEFT
Safetensors
English
holyc
templeos
tinyllama
lora
code-generation
fill-in-the-middle
completion
conversational
Instructions to use Aptlantis/TinyLlama-1.1B-HolyC-Layer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Aptlantis/TinyLlama-1.1B-HolyC-Layer2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Aptlantis/TinyLlama-1.1B-HolyC-Layer2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 746942bc6219fc64345d1718fd5998f9122b5da283b0c660f61874a0ffc2932d
- Size of remote file:
- 50.5 MB
- SHA256:
- 842dbbda5bceb1b83bbddd77df2acfa61b8ee6d87452211cb976d8b5442fdd74
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