--- title: README emoji: 🌖 colorFrom: blue colorTo: red sdk: static pinned: false --- # MidReal We follow an extremely simple format to organize and manage our models aand data. # Model Repo should be named as `midreal/{model_function}_{train_method}_{train_technique}_{base_model}_{date}` Model card should include ([example](https://huggingface.co/midreal/passage_sft_qlora_llama3_70b_0704)): ``` # Data Dataset trained with # Base Base model trained on # Template Prompt/Response template of the model # System MidReal system version that's compatible with the model # W&B Tracking of the training procedure # PIC Person in charge ``` # Dataset Repo should be named as `midreal/{model_function}_{train_method}_{status}_{date}` Dataset card should include ([example](https://huggingface.co/datasets/midreal/passage_sft_lmflow_0704)): ``` # Data Schema The schema that the data elements should follow # PIC Person in charge ``` Other information about the dataset could also be commented on dataset cards. The production of dataset should somehow follow a pipeline from `raw_data` to `story_data` to `openai` or `lmflow` format. `raw_data` is any data in its original appearance. `story_data` currently follow [data_schema_0718](https://huggingface.co/datasets/midreal/data_schema_0718). `openai` refers to [OpenAI Fine-tuning data format](https://platform.openai.com/docs/guides/fine-tuning/example-format). `lmflow` refers to [LMFlow data format](https://optimalscale.github.io/LMFlow/examples/DATASETS.html#data-format). # Usage We suggest using Huggingface CLI ([docs](https://huggingface.co/docs/huggingface_hub/main/en/guides/cli)). Once you have installed huggingface-cli and login, models/datasets could be uploaded with: ``` huggingface-cli upload [midreal/repo_id] [local_path] ([path_in_repo]) (--repo-type=dataset) ``` e.g. ``` huggingface-cli upload midreal/model ./path/to/curated/data /data/train huggingface-cli upload midreal/dataset . . --repo-type=dataset ``` and downloaded with: ``` huggingface-cli download midreal/model huggingface-cli download midreal/dataset --repo-type dataset ``` If the repo doesn’t exist yet, it will be created automatically.