diff --git a/DESCRIPTION b/DESCRIPTION
index 6094f3d09..4834eb6ee 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -50,4 +50,5 @@ Suggests:
     rpart,
     MASS,
     nlme,
-    modeldata
+    modeldata,
+    liquidSVM
diff --git a/NEWS.md b/NEWS.md
index 4243b7deb..611b26bfa 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,10 +1,18 @@
 # parsnip 0.1.1
 
+## New Features
+
+ * `liquidSVM` was added as an engine for `svm_rbf()` (#300)
+
+## Fixes
+
+* The error message for missing packages was fixed (#289 and #292)
+
+
 ## Other Changes
 
 * S3 dispatch for `tidy()` was broken on R 4.0. 
 
-* The error message for missing packages was fixed (#289 and #292)
 
 # parsnip 0.0.5
 
diff --git a/R/svm_rbf.R b/R/svm_rbf.R
index d6979c098..a2568e21e 100644
--- a/R/svm_rbf.R
+++ b/R/svm_rbf.R
@@ -36,11 +36,6 @@
 #' \item \pkg{R}:  `"liquidSVM"`
 #' }
 #'
-#' Note that models created using the `liquidSVM` engine cannot be saved like
-#' conventional R objects. The `fit` slot of the `model_fit` object has to be
-#' saved separately using the `liquidSVM::write.liquidSVM()` function. Likewise
-#' to restore a model, the `fit` slot has to be replaced with the model that is
-#' read using the `liquidSVM::read.liquidSVM()` function.
 #'
 #' @includeRmd man/rmd/svm-rbf.Rmd details
 #'
diff --git a/R/svm_rbf_data.R b/R/svm_rbf_data.R
index 1f7ffdb3a..ae58c6db6 100644
--- a/R/svm_rbf_data.R
+++ b/R/svm_rbf_data.R
@@ -243,9 +243,12 @@ set_pred(
   type = "prob",
   value = list(
     pre = function(x, object) {
-      if (object$fit$predict.prob == FALSE)
-        stop("`svm` model does not appear to use class probabilities. Was ",
-             "the model fit with `predict.prob = TRUE`?", call. = FALSE)
+      if (!object$fit$predict.prob) {
+        rlang::abort(
+          paste0("`svm` model does not appear to use class probabilities. Was ",
+                 "the model fit with `predict.prob = TRUE`?")
+        )
+      }
       x
     },
     post = function(result, object) {
diff --git a/man/rmd/svm-rbf.Rmd b/man/rmd/svm-rbf.Rmd
index 3bae62035..d4e194d4e 100644
--- a/man/rmd/svm-rbf.Rmd
+++ b/man/rmd/svm-rbf.Rmd
@@ -19,6 +19,32 @@ svm_rbf() %>%
   translate()
 ```
 
+## liquidSVM
+
+```{r liquidSVM-reg}
+svm_rbf() %>% 
+  set_engine("liquidSVM") %>% 
+  set_mode("regression") %>% 
+  translate()
+```
+
+```{r liquidSVM-cls}
+svm_rbf() %>% 
+  set_engine("liquidSVM") %>% 
+  set_mode("classification") %>% 
+  translate()
+```
+
+Note that models created using the `liquidSVM` engine cannot be saved like
+conventional R objects. The `fit` slot of the `model_fit` object has to be saved
+separately using the `liquidSVM::write.liquidSVM()` function. Likewise to restore
+a model, the `fit` slot has to be replaced with the model that is read using the
+`liquidSVM::read.liquidSVM()` function.
+
+`liquidSVM` parameterizes the kernel parameter differently than `kernlab`. To 
+translate between engines, `sigma = 1/gammas^2`. Users will be specifying 
+`sigma` and the function translates the value to `gamma`. 
+
 ## Parameter translations
 
 The standardized parameter names in parsnip can be mapped to their original 
diff --git a/man/svm_rbf.Rd b/man/svm_rbf.Rd
index 8dba5c6a3..6d605fda2 100644
--- a/man/svm_rbf.Rd
+++ b/man/svm_rbf.Rd
@@ -67,6 +67,7 @@ The model can be created using the \code{fit()} function using the
 following \emph{engines}:
 \itemize{
 \item \pkg{R}:  \code{"kernlab"} (the default)
+\item \pkg{R}:  \code{"liquidSVM"}
 }
 }
 \section{Engine Details}{
@@ -96,14 +97,51 @@ call. For this type of model, the template of the fit calls are below:
 }
 }
 
+\subsection{liquidSVM}{\if{html}{\out{<div class="r">}}\preformatted{svm_rbf() \%>\% 
+  set_engine("liquidSVM") \%>\% 
+  set_mode("regression") \%>\% 
+  translate()
+}\if{html}{\out{</div>}}\preformatted{## Radial Basis Function Support Vector Machine Specification (regression)
+## 
+## Computational engine: liquidSVM 
+## 
+## Model fit template:
+## liquidSVM::svm(x = missing_arg(), y = missing_arg(), folds = 1, 
+##     threads = 0)
+}\if{html}{\out{<div class="r">}}\preformatted{svm_rbf() \%>\% 
+  set_engine("liquidSVM") \%>\% 
+  set_mode("classification") \%>\% 
+  translate()
+}\if{html}{\out{</div>}}\preformatted{## Radial Basis Function Support Vector Machine Specification (classification)
+## 
+## Computational engine: liquidSVM 
+## 
+## Model fit template:
+## liquidSVM::svm(x = missing_arg(), y = missing_arg(), folds = 1, 
+##     threads = 0)
+}
+
+Note that models created using the \code{liquidSVM} engine cannot be saved
+like conventional R objects. The \code{fit} slot of the \code{model_fit} object
+has to be saved separately using the \code{liquidSVM::write.liquidSVM()}
+function. Likewise to restore a model, the \code{fit} slot has to be replaced
+with the model that is read using the \code{liquidSVM::read.liquidSVM()}
+function.
+
+\code{liquidSVM} parameterizes the kernel parameter differently than
+\code{kernlab}. To translate between engines, \code{sigma = 1/gammas^2}. Users
+will be specifying \code{sigma} and the function translates the value to
+\code{gamma}.
+}
+
 \subsection{Parameter translations}{
 
 The standardized parameter names in parsnip can be mapped to their
-original names in each engine that has main parameters:\tabular{ll}{
-   \strong{parsnip} \tab \strong{kernlab} \cr
-   cost \tab C \cr
-   rbf_sigma \tab sigma \cr
-   margin \tab epsilon \cr
+original names in each engine that has main parameters:\tabular{lll}{
+   \strong{parsnip} \tab \strong{kernlab} \tab \strong{liquidSVM} \cr
+   cost \tab C \tab lambdas \cr
+   rbf_sigma \tab sigma \tab gammas \cr
+   margin \tab epsilon \tab NA \cr
 }
 
 }