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README.md
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---
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license: apache-2.0
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datasets:
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- stanfordnlp/SHP
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- Anthropic/hh-rlhf
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- OpenAssistant/oasst1
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language:
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- en
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metrics:
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- accuracy
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tags:
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- human feedback
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- rlhf
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- preferences
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- alignment
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- HALO
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- halos
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- dpo
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- rl
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---
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This repo contains the model checkpoints for:
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- model family <b>llama30b</b>
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- optimized with the loss <b>SFT+KTO</b>
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- aligned using the SHP, Anthropic HH and Open Assistant datasets.
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Please refer to our code repository which contains intructions for training your own HALOs and links to our model cards.
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If you find this repo or the technical paper useful in your research, please feel free to cite [our work](http://halos.github.io/):
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```
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@misc{ethayarajh2023halos,
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url = {http://halos.github.io/},
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author = {Ethayarajh, Kawin and Xu, Winnie, and Jurafsky, Dan and Kiela, Douwe},
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title = {Human-Centered Loss Functions (HALOs)},
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publisher = {Contextual AI Blog},
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year = {2023},
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}
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```
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