Text Generation
PEFT
Safetensors
English
lora
molly-os
specialist
software-engineering
llama-3.1
domain-adaptation
conversational
Instructions to use BoomJules/molly-software-engineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BoomJules/molly-software-engineering with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "BoomJules/molly-software-engineering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdec2966a545334099be1b7b31bd9ab1c427876a9065457b9c1f86855b0a2f8c
- Size of remote file:
- 109 MB
- SHA256:
- 594fab003317788fc83e3163ed89197a327c8fd7dd0387785a7c1965c95d6b9a
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