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+ ---
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+ license: apache-2.0
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+ base_model: alpindale/WizardLM-2-8x22B
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+ ---
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+ # SorcererLM-8x22b-bf16
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+ Oh boy, here we go. Low-rank LoRA on top of [WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B) trained on 2 epochs of the (cleaned & deduped) c2-logs.
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+ ## Why LoRA?
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+ Fully intentional. `WizardLM-2-8x22B` is smart by itself but its used vocabulary leaves much to be desired when it comes to RP. By training a low-rank LoRA on top of it to teach it some of Claude's writing style, we remedy that.
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+ ## Prompting
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+ - Use the templates in [Quant-Cartel/Recommended-Settings](https://huggingface.co/Quant-Cartel/Recommended-Settings) under the `SorcererLM`-folder.
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+ - Or Vicuna 1.1 and a sane context template. It's sensitive to samplers, I'd recommend Temperature 1, MinP 0.05 and a dash of DRY but YMMV.
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+ ## Acknowledgments
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+ - My [Cartel](https://huggingface.co/Quant-Cartel) bros, [Envoid](https://huggingface.co/Envoid) and [I^2](https://huggingface.co/InferenceIllusionist) for being amazing
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+ - My wallet for making sure I could do this
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+ ## Training
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+ Trained using [qlora-pipe](https://github.com/tdrussell/qlora-pipe). Configs included in the `train`-subfolder.
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