{ "model_card": { "Date & Time": "2024-04-07T01:56:02.043003", "Model Card": [ "https://huggingface.co/LouisML/tinyllama_32k" ], "License Information": [ "apache-2.0" ], "Citation Information": [ "\n@inproceedings{Wolf_Transformers_State-of-the-Art_Natural_2020,\n author = {Wolf, Thomas and Debut, Lysandre and Sanh, Victor and Chaumond, Julien", "\n@Misc{peft,\n title = {PEFT: State-of-the-art Parameter-Efficient Fine-Tuning methods},\n author = {Sourab Mangrulkar and Sylvain Gugger and Lysandre Debut and Younes" ] }, "data_card": { "Create Dataset of Locations": { "Date & Time": "2024-04-06T10:17:45.009636" }, "zipped(Create Dataset of Locations, Generate Fiction for Each Location (select_columns))": { "Date & Time": "2024-04-06T15:17:35.786655" }, "zipped(zipped(Create Dataset of Locations, Generate Fiction for Each Location (select_columns)), Clean Location Subset JSON)": { "Date & Time": "2024-04-06T15:17:39.288866" }, "zipped(zipped(Create Dataset of Locations, Generate Fiction for Each Location (select_columns)), Clean Location Subset JSON) (train split)": { "Date & Time": "2024-04-06T15:17:39.562538" } }, "__version__": "0.28.0", "datetime": "2024-04-06T23:37:47.115672", "type": "TrainHFFineTune", "name": "Train a Fictional Story => DAGGER JSON Model", "version": 1.0, "fingerprint": "91f4a2305e0abfa9", "req_versions": { "dill": "0.3.8", "sqlitedict": "2.1.0", "torch": "2.2.2", "numpy": "1.26.4", "transformers": "4.39.3", "datasets": "2.18.0", "huggingface_hub": "0.22.2", "accelerate": "0.28.0", "peft": "0.10.0", "tiktoken": "0.6.0", "tokenizers": "0.15.2", "openai": "1.16.2", "ctransformers": "0.2.27", "optimum": "1.18.0", "bitsandbytes": "0.43.0", "litellm": "1.31.14", "trl": "0.8.1", "setfit": "1.0.3" }, "interpreter": "3.10.9 (main, Apr 17 2023, 21:32:03) [GCC 7.5.0]" }