Instructions to use krystv/nomen-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use krystv/nomen-ai with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
No-GPU-Execution Attestation
This repository contains a complete Nomen-AI training and deployment pipeline, but the actual SFT/DPO adapter weights were not produced in the agent environment.
Reason
GPU/HF Jobs execution was repeatedly rejected by the user/tool approval layer during this session. Therefore the following commands were prepared but not successfully executed here:
python scripts/preflight_gpu.py
python scripts/smoke_test.py
python scripts/train_sft.py
python scripts/train_dpo.py
Current adapter state
krystv/nomen-ai-sft-lora: initialized, noadapter_model.safetensorsyet.krystv/nomen-ai-dpo-lora: initialized, noadapter_model.safetensorsyet.
What is complete
- Codebase
- Datasets
- Training scripts
- DPO scripts
- Validation scripts
- Colab notebooks
- Docker GPU path
- Demo Space
- Artifact checker
- Research/citation/license docs
Required external run
Run one of:
bash scripts/train_all_colab.sh
or:
docker compose up --build
on a GPU machine with a valid Hugging Face token.