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LS-Micro-Base

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Dsg2 commited on 12 days ago

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@@ -70,8 +70,8 @@ Open ended generation:
 ## The base model is horrendous at chat, and is intended to be used as a base to be finetuned for specialised tasks.
 To try LS-Micro or to train/finetune the model, follow this quickstart guide:
 1. Clone the latest version of Cudalm [here](https://github.com/Dsg2/cudalm-c) (only windows supported currently, optimised for Blackwell 2.0/CPU).
-2. Build with `build.py`/'build.py --cpu'. Run cudalm to init all folders.
-3. Download all LS-Micro files from `Checkpoint\\` and drop them in `<cudalm.exe>\models\\`. Cudalm then automatically detect the model.
 Voila, you can now start experimenting with the model. Some basic stuff you can try first:

 ## The base model is horrendous at chat, and is intended to be used as a base to be finetuned for specialised tasks.
 To try LS-Micro or to train/finetune the model, follow this quickstart guide:
 1. Clone the latest version of Cudalm [here](https://github.com/Dsg2/cudalm-c) (only windows supported currently, optimised for Blackwell 2.0/CPU).
+2. Build with `build.py`/`build.py` --cpu'. Run cudalm to init all folders.
+3. Download all LS-Micro files from `LS-Micro-Base-Checkpoint\` and drop them in `<cudalm.exe>\models\`. Cudalm then automatically detects the model.
 Voila, you can now start experimenting with the model. Some basic stuff you can try first: