CoolFace
20 results

openchat

openchat /openchat_sharegpt4_datasetThis repository contains cleaned and filtered ShareGPT GPT-4 data used to train OpenChat. Details can be found in the OpenChat repository. text-generation1K<n<10K173 likes753 downloads3y agoHugging FaceWanfq /3_4_fusechat_v1_openchat-3.5_nh2-mixtral-8x7b-dpo_nh2-solar-10.7b_representation0 likes314 downloads2y agoHugging FaceWanfq /1_4_fusechat_v1_openchat-3.5_nh2-mixtral-8x7b-dpo_nh2-solar-10.7b_representation0 likes312 downloads2y agoHugging Faceopenchat /openchat_sharegpt_v3ShareGPT dataset for training OpenChat V3 series. See OpenChat repository for instructions. Contents: sharegpt_clean.json: ShareGPT dataset in original format, converted to Markdown, and with model labels. sharegpt_gpt4.json: All instances in sharegpt_clean.json with model == "Model: GPT-4". *.parquet: Pre-tokenized dataset for training specified version of OpenChat. Note: The dataset is NOT currently compatible with HF dataset loader. Licensed under MIT. tabular10K<n<100K25 likes256 downloads3y agoHugging Faceopen-llm-leaderboard-old /details_CallComply__openchat-3.5-0106-128k Dataset Card for Evaluation run of CallComply/openchat-3.5-0106-128k Dataset automatically created during the evaluation run of model CallComply/openchat-3.5-0106-128k on the Open LLM Leaderboard. The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_CallComply__openchat-3.5-0106-128k.0 likes246 downloads3y agoHugging Facenyu-dice-lab /lm-eval-results-openchat-openchat-3.6-8b-20240522-private Dataset Card for Evaluation run of openchat/openchat-3.6-8b-20240522 Dataset automatically created during the evaluation run of model openchat/openchat-3.6-8b-20240522 The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 4 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-openchat-openchat-3.6-8b-20240522-private.tabular100K<n<1M0 likes219 downloads2y agoHugging Face