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README.md
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license_name: microsoft-research-license
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This model is a fine-tuned version of microsoft/Orca-2-13b on a subset of the Vezora/Mini_Orca_Uncencored_Alpaca dataset, with some particularly spicy prompts added to reduce the risk of rejections.
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I'll test it tomorrow when my GGUF quants are done.
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license_name: microsoft-research-license
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This model is a fine-tuned version of microsoft/Orca-2-13b on a subset of the Vezora/Mini_Orca_Uncencored_Alpaca dataset, with some particularly spicy prompts added to reduce the risk of rejections.
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Only the q_proj and k_proj modules were targeted and a low rank (8) was used, in hopes of containing the adjustments to the prompt format and alignment. This is promising on paper, with the training's per-step loss averaging <0.9 for the last third of the run.
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I'll test it tomorrow when my GGUF quants are done.
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