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README.md

@@ -17,7 +17,7 @@ Munin-7B-open-pt is a 7 billion parameter language model continually pre-trained
 Munin-7B-open-pt is a base model that can be used a the starting point for fine-tuning and post-training. It has not been instruction-tuned and cannot directly be expected to function as a chat model.
 
 ## Training details
-Munin-7B-open-pt has been trained using the [maester](https://github.com/rlrs/maester) framework developed as part of the [Danish Foundation Models project](https://foundationmodels.dk/). All training was performed on a single 8x Nvidia B200 node (the first of its kind in Denmark).
+Munin-7B-open-pt has been trained using the [maester](https://github.com/rlrs/maester/tree/main/3aca26960eaa1a16250b3feda40303c240ba4ca1) framework developed as part of the [Danish Foundation Models project](https://foundationmodels.dk/). All training was performed on a single 8x Nvidia B200 node (the first of its kind in Denmark).
 
 The training was performed in three stages, with data mix (open-stageK.py) and maester (open-stageK.toml) configuration files available in each subfolder. The three pre-training stages are detailed in the following table: