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@@ -35,11 +35,11 @@ Finally, explain why you chose your specific theme.
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  * Base model: senseable/WestLake-7B-v2 based of Mistral-7B-v0.1
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  * Context size: **8192** (even though Mistral-7B is 32k, WestLake was trained with 8k, and using a larger context is likely to cause problems)
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- * Prompt format: in general, Mistral based models are able to understand many prompt formats, but the following produce the best results, and are recommended
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- - **ChatML** (used during WestLake training)
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- - **Zephyr** (variant of ChatML which I have found to sometimes produce better results)
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- - **Alpaca** (reported by senseable as working better than ChatML)
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- - **Mistral Instruct** (original format from Mistral-7B)
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  ## Merge Details
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  * Base model: senseable/WestLake-7B-v2 based of Mistral-7B-v0.1
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  * Context size: **8192** (even though Mistral-7B is 32k, WestLake was trained with 8k, and using a larger context is likely to cause problems)
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+ * Prompt format: in general, Mistral based models are able to understand many prompt formats, but the following produce the best results, and are recommended (in order of preference)
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+ - **Alpaca** (reported by senseable as working better than ChatML, and confirmed by me)
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+ - ChatML (used during WestLake training)
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+ - Mistral Instruct (original format from Mistral-7B)
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+ - Zephyr (variant of ChatML which I have found to sometimes produce better results)
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  ## Merge Details
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