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README.md
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HelixNet regenerates very pleasing and accurate responses, due to the entropy preservation of the regenerator. The regenerator was only trained on a dataset of 1000 samples, similar to Meta's LIMA. The actor network here was trained on about 250K very high-quality samples, and the critic network was trained on further 10K samples.
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Full details on how HelixNet was trained and evaluated is located at [https://huggingface.co/migtissera/HelixNet](https://huggingface.co/migtissera/HelixNet) \
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The 6bpw separate models for HelixNet are available at [https://huggingface.co/LoneStriker?search_models=helixnet](https://huggingface.co/LoneStriker?search_models=helixnet)
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HelixNet regenerates very pleasing and accurate responses, due to the entropy preservation of the regenerator. The regenerator was only trained on a dataset of 1000 samples, similar to Meta's LIMA. The actor network here was trained on about 250K very high-quality samples, and the critic network was trained on further 10K samples.
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Full details on how HelixNet was trained and evaluated is located at [https://huggingface.co/migtissera/HelixNet](https://huggingface.co/migtissera/HelixNet) \
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The 6bpw separate models for HelixNet are available at [https://huggingface.co/LoneStriker?search_models=helixnet](https://huggingface.co/LoneStriker?search_models=helixnet)
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