diff --git a/DESCRIPTION b/DESCRIPTION
index 1a96ef2..4465539 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -42,7 +42,8 @@ Suggests:
     ranger,
     rpart,
     testthat (>= 3.0.0),
-    xgboost
+    xgboost,
+    pryr
 Remotes:
     catboost/catboost/catboost/R-package,
     mlr-org/mlr3extralearners,
diff --git a/tests/testthat/test_estimate_memory.R b/tests/testthat/test_estimate_memory.R
new file mode 100644
index 0000000..28ab01f
--- /dev/null
+++ b/tests/testthat/test_estimate_memory.R
@@ -0,0 +1,91 @@
+n_obs = 1e4
+n_feat = 100
+dt = runif(n_obs * n_feat)
+dt = as.data.table(matrix(dt, nrow = n_obs, ncol = n_feat))
+
+# classif
+set(dt, j = "y", value = 0)
+set(dt, i = seq_len(n_obs %/% 2), j = "y", value = 1)
+task = as_task_classif(dt, target = "y")
+
+test_that("LearnerClassifRanger memory estimate is approximately correct", {
+  learner = lrn("classif.ranger")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+test_that("LearnerClassifXgboost memory estimate is approximately correct", {
+  learner = lrn("classif.xgboost")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+test_that("LearnerClassifCatboost memory estimate is approximately correct", {
+  learner = lrn("classif.catboost")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+test_that("LearnerClassifLightGBM memory estimate is approximately correct", {
+  learner = lrn("classif.lightgbm")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+
+# regr
+set(dt, j = "y", value = runif(n_obs))
+task = as_task_regr(dt, target = "y")
+
+test_that("LearnerRegrRanger memory estimate is approximately correct", {
+  learner = lrn("regr.ranger")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+test_that("LearnerRegrXgboost memory estimate is approximately correct", {
+  learner = lrn("regr.xgboost")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+test_that("LearnerRegrCatboost memory estimate is approximately correct", {
+  learner = lrn("regr.catboost")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+test_that("LearnerRegrLightGBM memory estimate is approximately correct", {
+  learner = lrn("regr.lightgbm")
+  learner$train(task)
+  true_mem = pryr::object_size(learner$model)
+  estim_mem = estimate_memory(learner, task)
+  
+  expect_true(true_mem <= estim_mem)
+})
+
+rm(dt)
+rm(task)
+rm(n_obs)
+rm(n_feat)