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Update README.md
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README.md
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@@ -33,7 +33,7 @@ All the other samplers neutralized. That's all you need in modern times (2024/20
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<h1>How to use:</h1>
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**Advanced Users:** Enjoy, modify, forget.\
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**Beginner Users:** Read further.
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1. Find your LLM (model) native instruct template. Every fine-tune stands on a base model, which is usually specified by its creator in a manner of "We're presenting a fine-tune of Mistral Small" or "Nemo on steroids" etc. It may be confusing, it may be clear. Not my fault :-P However, you need to identify the base model of a fine-tune by reading its description page. Different templates may be used by creators (tuners) for training - and then - templates suggested on a fine-tune's page work better. However, creators often just choose the basic template of a model they're tuning - so make sure to check the model's description page or assume it's using the base model's template (template of the main model that a given tuner is tuning).
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***<<< most typical templates: Mistral, ChatML, Alpaca, Metharme/Pygmalion >>>***
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<h1>How to use:</h1>
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**Advanced Users:** Enjoy, modify, forget.\
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**Beginner Users:** Read further.
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1. Find your LLM (model) native instruct template. Every fine-tune stands on a base model, which is usually specified by its creator in a manner of "We're presenting a fine-tune of Mistral Small" or "Nemo on steroids" etc. It may be confusing, it may be clear. Not my fault :-P However, you need to identify the base model of a fine-tune by reading its description page. Different templates may be used by creators (tuners) for training - and then - templates suggested on a fine-tune's page work better. However, creators often just choose the basic template of a model they're tuning - so make sure to check the model's description page or assume it's using the base model's template (template of the main model that a given tuner is tuning).
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***<<< most typical templates: Mistral, ChatML, Alpaca, Metharme/Pygmalion >>>***
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