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README.md
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@@ -13,4 +13,7 @@ A function calling version of [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-
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It follows the implementation of laserRMT @ https://github.com/cognitivecomputations/laserRMT and the novel training technique - we partially freeze the model according to a laser-like analysis (Official Paper soon)
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which effectively prevents the significant problem of language models forgetting previously acquired knowledge. This aspect is particularly crucial when attempting to teach the model specific skills, such as function calling.
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We intend to be the first of a family of experimentations being carried out @ Cognitive Computations.
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It follows the implementation of laserRMT @ https://github.com/cognitivecomputations/laserRMT and the novel training technique - we partially freeze the model according to a laser-like analysis (Official Paper soon)
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which effectively prevents the significant problem of language models forgetting previously acquired knowledge. This aspect is particularly crucial when attempting to teach the model specific skills, such as function calling.
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We intend to be the first of a family of experimentations being carried out @ Cognitive Computations.
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# Quants
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- [dagbs/-GGUF](https://huggingface.co/dagbs/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF)
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