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---
# Thank you for contributing!
# In filling out this yaml file, please follow the criteria as described here:
# https://osai-index.eu/contribute
# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
# stipulation that attribution should come in the form of a link to https://osai-index.eu/
# and a citation to the peer-reviewed paper in which the dataset & criteria were published:
# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).
# Organization tags:
# - National origin: International
# - Contributor type: Academic (Research community)
system:
name: Open Assistant
link: https://open-assistant.io/
type: text
performanceclass: full
basemodelname: Pythia-12B
endmodelname: Pythia-12B-SFT-v8-7K-Steps
endmodellicense: Apache-2.0
releasedate: 2023-02
notes: Community-built model aiming to bridge the gap between open-source models and ChatGPT.
org:
name: LAION
link: https://open-assistant.io/
notes: Early intiative to bolster the open-source community.
# availability:
datasources_basemodel:
class: open
link: https://huggingface.co/datasets/EleutherAI/the_pile_deduplicated
notes: Training data published on HuggingFace for Pythia-based models.
datasources_endmodel:
class: open
link: https://huggingface.co/datasets/OpenAssistant/oasst1
notes: OpenAssistant Conversations is 'a human-generated, human-annotated assistant-style conversation corpus consisting of 161443 messages distributed across 66497 conversation trees, in 35 different languages, annotated with 461292 quality ratings' (preprint).
weights_basemodel:
class: open
link: https://huggingface.co/EleutherAI/pythia-12b-deduped
notes: Model weights available via HuggingFace.
weights_endmodel:
class: open
link: https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-7k-steps
notes: Model weights available via HuggingFace.
trainingcode:
class: open
link: https://github.com/LAION-AI/Open-Assistant
notes: GitHub containing training code available.
# documentation
code:
class: open
link: https://projects.laion.ai/Open-Assistant/docs/intro
notes: Separate website provides entry point to comprehensive documentation.
hardware_architecture:
class: partial
link: https://wandb.ai/open-assistant/supervised-finetuning/runs/pcw1ejda
notes: Hardware architecture is listed on WandB pages. Some pages are no longer accessible.
preprint:
class: partial
link: https://arxiv.org/abs//2304.07327
notes: Preprint describes creation of OpenAssistant Conversations corpus for instruction tuning, but not the base LLM, hence partial.
paper:
class: partial
link: https://proceedings.neurips.cc/paper_files/paper/2023/hash/949f0f8f32267d297c2d4e3ee10a2e7e-Abstract-Datasets_and_Benchmarks.html
notes: Preprint was published in NeurIPS.
modelcard:
class: open
link: https://huggingface.co/OpenAssistant
notes: Various model cards exist
datasheet:
class: partial
link: https://docs.google.com/spreadsheets/d/1NYYa6vHiRnk5kwnyYaCT0cBO62--Tm3w4ihdBtp4ISk/edit?pli=1&gid=1537161081#gid=1537161081
notes: Most data sets are linked and some contain a data sheet.
# access
package:
class: closed
link:
notes: No package found.
api:
class: open
link: https://projects.laion.ai/Open-Assistant/api
notes:
metaprompt: closed
licenses:
class: open
link: https://projects.laion.ai/Open-Assistant/docs/faq#what-license-does-open-assistant-use
notes: Apache 2.0