Update README.md

README.md

@@ -157,11 +157,14 @@ Compared to Tulu 2, DPO hyperparameters are the same. SFT is lower LR and 3 epoc
 
 ## Bias, Risks, and Limitations
 
-The adapted OLMo models do not include a specific safety filter or safety training data.
-While our model shows good scores relative to its peers on ToxiGen, like any base language model or fine-tuned model without safety filtering, it is relatively easy for a user to prompt these models to generate harmful and generally sensitive content.
-Such content can also be produced unintentionally, especially in the case of bias, so we recommend users consider the risks of applications of this technology.
-
-Otherwise, many facts from OLMo or any LLM will often not be true, so they should be checked.
+This adapted OLMo model is a research artifact, not a consumer product. 
+It is intended to benefit the research community interested in understanding the safety properties of LLMs and developers building safety tools for LLMs. 
+For this reason, the model does not include a specific safety filter or safety training data. 
+While our model scores well relative to its peers on ToxiGen, it is possible for the model to generate harmful and sensitive content from some user prompts. 
+We recommend developers exercise caution and consider the risks of the applications of this technology. 
+Furthermore, developers should consider implementing safeguards for biases, privacy, and other potential harms when appropriate. 
+Finally, as with every LLM, OLMo may produce factual-sounding outputs that may not be true, so developers and users are encouraged to confirm such outputs before relying on them. 
+All users of this model are responsible for how they use the model.
 
 
 ## Citation