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# Delirium v1
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This model was cooked a bit too long during SIMPO training. It writes like Hunter S. Thompson 2 days into an ether binge. It's grotesque, dark, grimy and genius.
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It's trained on an experimental [gutenberg + antislop dataset](https://huggingface.co/datasets/sam-paech/gutenbergs_1_2_3_antislop-dpo). This contains the original two gutenberg sets by [jondurbin](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) and [nbeerbower](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo), as well as a subset of my own set, [gutenberg3](https://huggingface.co/datasets/sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo). The antislop pairs were generated with gemma-2-9b-it, with one sample generated with the [AntiSlop sampler](https://github.com/sam-paech/antislop-sampler) and the rejected sample generated without.
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# Delirium v1
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GGUFs here: [https://huggingface.co/mradermacher/Delirium-v1-GGUF](https://huggingface.co/mradermacher/Delirium-v1-GGUF)
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This model was cooked a bit too long during SIMPO training. It writes like Hunter S. Thompson 2 days into an ether binge. It's grotesque, dark, grimy and genius.
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It's trained on an experimental [gutenberg + antislop dataset](https://huggingface.co/datasets/sam-paech/gutenbergs_1_2_3_antislop-dpo). This contains the original two gutenberg sets by [jondurbin](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) and [nbeerbower](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo), as well as a subset of my own set, [gutenberg3](https://huggingface.co/datasets/sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo). The antislop pairs were generated with gemma-2-9b-it, with one sample generated with the [AntiSlop sampler](https://github.com/sam-paech/antislop-sampler) and the rejected sample generated without.
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