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datasets: |
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- PygmalionAI/PIPPA |
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- ludis/geepeetee4 |
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- lemonilia/LimaRP |
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## GGUF |
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gguf quants for ludis/tsukasa-13b-qlora-limarp |
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## Prompting |
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https://rentry.org/tsukasa13b - reccomended prompts and gen settings |
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The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`. |
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The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input. The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history. |
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## Training |
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base model (mistral-0.1-7b) |
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[axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) was used for training |
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on a 4x nvidia a40 gpu cluster. |
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the a40 GPU cluster has been graciously provided by [Arc Compute](https://www.arccompute.io/). |
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rank 8 lora tune of mistralai/Mistral-7B-v0.1, first tuned on koishi commit 6e675d1 for one epoch then on limarp (without ponyville, lolicit, all the fallen, and eka's portal subsets) Version 2023-09-30 for 2 epochs in metharme format |
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