Update README.md

README.md

@@ -36,3 +36,7 @@ Trained without ChatML templating. This model uses a pattern of:
 
 The primary utility of this model is as a means to synthesize rejected / lower quality preference data from pre-existing SFT data (i.e, the general pretraining corpus).
 This is useful in the context of teaching a reward model **generalized preferences** from lower quality, subtly incoherent base model-esque completions, of which are trivial to produce compared to human annotations.
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+## Acknowledgements
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+Trained on 8xH200s provided free of charge by [Deepshard](https://github.com/deepshard) for research & open source experimentation. Big McThankies.