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+ ---
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+ datasets:
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+ - PygmalionAI/PIPPA
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+ ---
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+
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+ ## GGUF
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+
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+ little endian
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+ ## Training
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+ [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) was used for training
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+ on a 4x nvidia a100 gpu cluster.
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+ the a100 GPU cluster has been graciously provided by [lloorree](https://huggingface.co/lloorree).
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+ rank 16 qlora (all modules) tune
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+ base model alpindale/goliath-120b tuned on koishi commit 6e675d1 for one epoch
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+ then tuned on pippa 6412b0c for one epoch (metharme completion)
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+ then tuned on limarp Version 2023-10-19 for 2 epochs in metharme completion format with limit_data_length set to 32768 in dataprepare-templates.py
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+ ## Prompting
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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.