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  # leftyfeep/ape-fiction-2-mistral-nemo-Q5_K_M-GGUF
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  This model was converted to GGUF format from [`leftyfeep/ape-fiction-2-mistral-nemo`](https://huggingface.co/leftyfeep/ape-fiction-2-mistral-nemo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/leftyfeep/ape-fiction-2-mistral-nemo) for more details on the model.
 
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+ (A)lgorithmic (P)attern (E)mulation - Fiction!
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+ Same thing I did before in [version 1](https://huggingface.co/leftyfeep/ape-fiction-mistral-nemo), but with a much larger dataset. I included the full-length stories and novels up to 100k context dataset that I used for version 1. To that dataset I merged three other gutenberg-based datasets, which split the text into chapters:
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+ - https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1
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+ - https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo
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+ - https://huggingface.co/datasets/leftyfeep/fiction-chapters-24kmax
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+ The merged dataset has about 7200 entries.
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  # leftyfeep/ape-fiction-2-mistral-nemo-Q5_K_M-GGUF
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  This model was converted to GGUF format from [`leftyfeep/ape-fiction-2-mistral-nemo`](https://huggingface.co/leftyfeep/ape-fiction-2-mistral-nemo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/leftyfeep/ape-fiction-2-mistral-nemo) for more details on the model.