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Fietje.yaml
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104 lines (85 loc) · 3.12 KB
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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: Netherlands
# - Contributor type: Academic (Individual)
system:
name: Fietje
link: https://huggingface.co/BramVanroy/fietje-2-chat
type: text
performanceclass: full
basemodelname: Phi-2
endmodelname: Fietje-2-Chat
endmodellicense: MIT License
releasedate: 2024-04
notes: Derivative of Phi2 fine-tuned for Dutch text generation.
org:
name: Bram Vanroy
link: https://bramvanroy.github.io/
notes: Independent model creator.
# availability:
datasources_basemodel:
class: closed
link:
notes: "Based on phi2 by Microsoft, for which pretraining data has not been disclosed. Phi2 documentation says only '250B tokens, combination of NLP synthetic data created by AOAI GPT-3.5 and filtered web data from Falcon RefinedWeb and SlimPajama, which was assessed by AOAI GPT-4.'."
datasources_endmodel:
class: partial
link: https://huggingface.co/datasets/BramVanroy/wikipedia_culturax_dutch
notes: "Finetuning of Phi not fully documented; derivative uses a Wikipedia and CulturaX mix for Dutch."
weights_basemodel:
class: open
link: https://huggingface.co/microsoft/phi-2
notes: Phi 2 model weights available through HuggingFace.
weights_endmodel:
class: open
link: https://huggingface.co/BramVanroy/fietje-2-chat
notes:
trainingcode:
class: partial
link: https://github.com/BramVanroy/fietje-2
notes: Source code for base model not available, but training for derivative well-documented in github repository.
# documentation:
code:
class: partial
link: https://github.com/BramVanroy/fietje-2/tree/main/training
notes: Source code for base model not available, but training for derivative model documented in exemplary detail.
hardware_architecture:
class: open
link: https://huggingface.co/BramVanroy/fietje-2-chat
notes:
preprint:
class: open
link: https://arxiv.org/abs/2412.15450
notes:
paper:
class: closed
link:
notes:
modelcard:
class: open
link: https://huggingface.co/BramVanroy/fietje-2-chat
notes:
datasheet:
class: partial
link:
notes: No data sheet available for base model
# access:
package:
class: closed
link:
notes:
api:
class: closed
link:
notes:
metaprompt: closed
licenses:
class: partial
link:
notes: "Model weights provided under MIT, but training data inherits unclarity and limitations from upstream models (Falcon RefinedWeb, SlimPajama)."