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datasets: |
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- ewof/koishi-instruct-metharme |
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## GPTQ |
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2048 sequence length |
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VMware/open-instruct dataset |
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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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trained on koishi commit 6e675d1 for one epoch |
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## Base Model |
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rank 16 qlora tune of mistralai/Mixtral-8x7B-v0.1 (all modules, merged) |
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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. |
