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docs/df.csv

@@ -17,6 +17,7 @@ https://huggingface.co/lmsys/vicuna-13b-v1.3,Vicuna is a chat assistant trained
 hhttps://github.com/ethanyanjiali/minChatGPT,,GPT2,anthropic,GNU General Public License v3.0,ethanyanjiali,https://github.com/ethanyanjiali/minChatGPT,,open,,,open,,,open,,,partial,,,closed,,,open,,,open,,,partial,,,closed,,,closed,,,closed,,,closed,,,closed,,,open,,,/projects/minChatGPT.yaml,7.0
 https://github.com/BlinkDL/ChatRWKV,,RWKV-LM,"alpaca, shareGPT (synthetic)",,BlinkDL/RWKV,https://www.rwkv.com/,,open,https://github.com/BlinkDL/ChatRWKV,Various community-contributed enhancements available,partial,https://pile.eleuther.ai/,Trained on The Pile. Recent versions also build on Red Pajama (https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T),open,https://huggingface.co/BlinkDL/rwkv-4-world/tree/main,Model weights released across different HuggingFace spaces,closed,,"Instruction tuning data not separately available. Documentation 'These are RWKV-4-Pile 1.5/3/7/14B models finetuned on Alpaca, CodeAlpaca, Guanaco, GPT4All, ShareGPT and more'",closed,,Weights not separately available.,open,https://github.com/BlinkDL/ChatRWKV/blob/main/LICENSE,Apache 2.0,partial,,Code documentation scattered across github repo and HuggingFace spaces,partial,,Architecture described in preprint (LM part) but not all details clearly documented.,partial,https://arxiv.org/abs/2305.13048,"Preprint covers only LLM (RNN based), not instruction fine-tuning, so partial.",closed,,No peer-reviewed paper or published data audit known,closed,https://huggingface.co/BlinkDL/rwkv-4-raven,"No modelcard, HuggingFace spaces only used to share files",closed,https://huggingface.co/BlinkDL/rwkv-4-raven,"No data sheet, HuggingFac spaces only used to share files",open,https://pypi.org/project/rwkv/,Available through pip install rwkv,partial,,API via HuggingFace,/projects/ChatRWKV.yaml,6.5
 https://github.com/LianjiaTech/BELLE,,LLaMA & BLOOMZ,"alpaca, shareGPT, Belle (synthetic)",Apache License 2.0,KE Technologies,http://www.ke.com,,open,https://github.com/LianjiaTech/BELLE,Repository contains a fair bit of code,partial,,"Open for variants based on BLOOMZ. Closed for variants based on LLaMA, whose pretraining data is nowhere disclosed or documented.",partial,,LLaMA based but copyright status unclear,partial,https://github.com/LianjiaTech/BELLE/tree/main/data/1.5M,Synthetic BELLE training data in Chinese released in batches,partial,https://github.com/LianjiaTech/BELLE/tree/main/models,"Some models available, most only as delta weights requiring separate access to LLaMA",closed,,Lowest common denominator is non-OSI approved LLaMA licence agreement,partial,https://github.com/LianjiaTech/BELLE/blob/main/README_en.md,"Quite some documentation on Github, though not all well-organized",open,https://github.com/LianjiaTech/BELLE/blob/main/README_en.md,Specified in a fair bit of detail on github,open,https://arxiv.org/abs/2303.14742,,closed,,No peer-reviewed paper found,closed,,No model card found,partial,,No data sheet found,closed,,No dedicated package available,closed,,No API found,/projects/BELLE.yaml,6.0
+https://huggingface.co/BramVanroy/GEITje-7B-ultra,Dutch instruction-tuned model based on Mistral 7B,Mistral 7B,Ultrafeedback Dutch (synthetic),,,,,closed,,"Mistral has limited source code available, also no training code for Geitje found",partial,https://huggingface.co/Rijgersberg/GEITje-7B#geitje--trained-further-on-dutch-texts,"Mistral provides no documentation of any of its pretraining data. Geitje Ultra 7B is based on Geitje 7B, which does disclose that Dutch pretraining data includes Gigacorpus and MADLAD.",open,https://github.com/mistralai/mistral-src#download-the-model,Mistral base model is available for downloading,open,https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch,Ultrafeedback Dutch (synthetic),open,https://huggingface.co/BramVanroy/GEITje-7B-ultra/tree/main,Instruction-tuned model made available through HuggingFace,closed,https://huggingface.co/BramVanroy/GEITje-7B-ultra,"Licensed as CC-BY-ND-4.0 on HuggingFace, though no specific license file or statement found",closed,,Only limited code repositories and no clear centralized documentation of code,partial,https://huggingface.co/BramVanroy/GEITje-7B-ultra,Some information on architecture provided in github repo and HF model card,partial,https://arxiv.org/abs/2312.12852v1,Preprint documents Dutch language resources but architecture and scientific documentation otherwise lacking due to Mistral base,closed,,No peer-reviewed paper found,partial,https://huggingface.co/BramVanroy/GEITje-7B-ultra,Modelcard on HF provides information on fine-tuning but nothing for the Mistral base LLM,partial,https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch,"Datasheet available for DPO and for the Dutch portions of pretraining data, but not for original Mistral pretraining data, hence partial.",closed,,No package available,partial,,Model available through HuggingFace API,/projects/geitje-ultra.yaml,6.0
 https://huggingface.co/microsoft/Phi-3-mini-128k-instruct,,Phi3,Unspecified,MIT License,Microsoft,https://huggingface.co/microsoft/Phi-3-mini-128k-instruct,,closed,,"No source code found for pretraining, posttraining, or evaluation",closed,,No datasets made available and no information on datasets disclosed except very generic claims about filtering for high quality.,closed,,No base model of the instruction-tuned Phi-3 was released,closed,,No post-training datasets made available and no information on datasets disclosed except very generic claims about filtering for high quality.,open,https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/tree/main,Instruction-tuned model weights shared through HuggingFace,open,https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/blob/main/LICENSE,MIT License,closed,,"No source code, so no documentation of source code found",open,https://arxiv.org/abs/2404.14219,Architecture described in model card and preprint,partial,https://arxiv.org/abs/2404.14219,"Preprint describes model architecture but not training data, focusing mostly on benchmarks and evalution",closed,,No paper found,open,https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/blob/main/LICENSE,Model card provides reasonable level of detail,closed,,No datasheet made available,partial,,Available through development version of transformers,open,,Available through HuggingFace API,/projects/phi-3-instruct.yaml,6.0
 https://huggingface.co/WizardLM/WizardLM-13B-V1.2,Empowering Large Pre-Trained Language Models to Follow Complex Instructions,LLaMA2-13B,Evol-Instruct (synthetic),CC-BY-NC-4.0,Microsoft & Peking University,https://github.com/nlpxucan,,partial,https://github.com/nlpxucan/WizardLM/tree/main/WizardLM,Fast-evolving repository contains WizardLM code,closed,https://github.com/opening-up-chatgpt/opening-up-chatgpt.github.io/blob/main/projects/llama-2-chat.yaml,"Based on LLaMA2, which is claimed to be public but nowhere exactly documented.",partial,https://ai.meta.com/resources/models-and-libraries/llama-downloads/,"Based on LLaMA2 weights, which are made conditionally available by Meta.",open,https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_V2_196k,The Evol-Instruct V2 dataset contains 196k instruction-following sequences generated from Evol-Instruct,open,https://huggingface.co/WizardLM/WizardLM-13B-V1.2,Model weights offered in HuggingFace repository,partial,https://github.com/nlpxucan/WizardLM/blob/main/WizardLM/MODEL_DIFF_LICENSE,"Restricted for academic research purposes only. Code and Model diff release under CC-BY-NC-4.0, software code under Apache 2.0",partial,https://github.com/nlpxucan/WizardLM/tree/main/WizardLM,"Code is only partially documented, not clearly versioned, and appears to be in flux.",open,https://arxiv.org/abs/2304.12244,Architecture described in preprint and partly accessible in code repository,open,https://arxiv.org/abs/2304.12244,Preprint describes method for creating large amounts of LLM-based synthetic RLHF data and fine-tuning WizardLM based on it,closed,,No peer-reviewed paper or data audit found,closed,https://huggingface.co/WizardLM/WizardLM-13B-V1.2,Model card is only a placeholder and generates an error (missing yaml metadata),closed,https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_V2_196k,Dataset card for Evol-Instruct generates an error,closed,,No package available,closed,,No API available,/projects/wizardlm-13B.yaml,6.0
 https://huggingface.co/jondurbin/airoboros-l2-70b-gpt4-1.4.1,,Llama2,Airoboros (synthetic),Purposely left ambiguous,Jon Durbin,https://github.com/jondurbin,Only active on GitHub since May 2023,partial,https://gist.github.com/jondurbin/87fc040b92a3073125ed516b04bc6e19,Repo exists for RL data but only a gist exists for model training and architecture,closed,,Llama2 training data is nowhere documented or disclosed,partial,,"Llama2, made conditionally available by Meta",open,https://github.com/jondurbin/airoboros,"Airoboros, an implementation of the Self-Instruct paper",open,https://huggingface.co/jondurbin/airoboros-l2-70b-gpt4-1.4.1/tree/main,Made available through HuggingFace,partial,https://huggingface.co/jondurbin/airoboros-l2-70b-gpt4-1.4.1#licence-and-usage-restrictions,Licensing left ambiguous because of murky status of OpenAI-derived Self-Instruct data,partial,,What little code available is not very systematically documented,partial,https://huggingface.co/jondurbin/airoboros-l2-70b-gpt4-1.4.1/discussions/2#64c29e4c617b36543dedac9a,Some info can be gleaned at link but most remains undocumented,closed,,No preprint found,closed,,No peer-reviewed paper found,partial,https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4,Instructs reader to look up model card for prior 65B Llama1 version,partial,https://huggingface.co/datasets/jondurbin/airoboros-gpt4-1.4.1,Datasheet for RL data only,closed,,No package found,closed,,No API found,/projects/airoboros.yaml,5.5