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## Captain Adventure 32B |
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(Model card will be updated further in the near future.) |
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Fine-tuned from [c4ai-command-r-08-2024](https://huggingface.co/CohereForAI/c4ai-command-r-08-2024) using QLoRA at 8k context for training. |
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iMatrix GGUFs available here: [iMatrix GGUF](https://huggingface.co/MarsupialAI/Captain-Adventure-32B_iMat_GGUF) |
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Datasets used: |
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- Spring Dragon |
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- Skein |
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Total was around ~29-30M tokens of classic-style text adventure data. |
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This was trained in `completion` mode on axolotl, meaning I did not introduce any instruct format. |
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The intended use is in the style of KoboldLite's Adventure mode, which is raw text completion of the form: |
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``` |
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Story text, setup, words |
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> User action |
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Narration describing the outcome of this action |
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> Another user action |
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More narration from the bot... |
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``` |
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Set `>` as a stop token to use in traditional completion format. |
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**I've also been told this works well in instruct mode, in which case you will want to use Command-R Instruct format.** |
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Thanks, hope you have some fun with it. |
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*Extra thanks to Gargamel for sponsoring compute for this train. If you'd like me to train more models like this, feel free to donate to [my ko-fi](https://ko-fi.com/toastypigeon) so I can buy more compute credits.* |